From a710a4e36c32d6a5a8890a9c33e43264e479682f Mon Sep 17 00:00:00 2001 From: Sravani Mutta Date: Fri, 22 Mar 2024 18:55:15 +0530 Subject: [PATCH 1/2] import-prelabels-image --- .../import_labeled_dataset_image.ipynb | 448 ++++++++++++++++++ 1 file changed, 448 insertions(+) create mode 100644 examples/annotation_import/import_labeled_dataset_image.ipynb diff --git a/examples/annotation_import/import_labeled_dataset_image.ipynb b/examples/annotation_import/import_labeled_dataset_image.ipynb new file mode 100644 index 000000000..6ae138268 --- /dev/null +++ b/examples/annotation_import/import_labeled_dataset_image.ipynb @@ -0,0 +1,448 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": {}, + "cells": [ + { + "metadata": {}, + "source": [ + "!pip install -q \"labelbox[data]\"" + ], + "cell_type": "code", + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[?25l \u001b[90m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b[0m \u001b[32m0.0/237.1 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[91m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b[0m\u001b[90m\u257a\u001b[0m\u001b[90m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b[0m \u001b[32m112.6/237.1 kB\u001b[0m \u001b[31m3.2 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[90m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b[0m \u001b[32m237.1/237.1 kB\u001b[0m \u001b[31m3.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + " Building wheel for pygeotile (setup.py) ... \u001b[?25l\u001b[?25hdone\n" + ] + } + ], + "execution_count": null + }, + { + "metadata": {}, + "source": [ + "import labelbox as lb\n", + "from labelbox.schema.data_row_metadata import DataRowMetadataField, DataRowMetadataKind\n", + "import datetime\n", + "import random\n", + "import os\n", + "import json\n", + "from PIL import Image\n", + "from labelbox.schema.ontology import OntologyBuilder, Tool\n", + "import requests\n", + "from tqdm.notebook import tqdm\n", + "import uuid\n", + "from labelbox.data.annotation_types import Label, ImageData, ObjectAnnotation, Rectangle, Point" + ], + "cell_type": "code", + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, + "source": [ + "# Setup Labelbox client" + ], + "cell_type": "markdown" + }, + { + "metadata": {}, + "source": [ + "# Initialize the Labelbox client\n", + "API_KEY = \"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VySWQiOiJjbG1mdnd3NGwwdmc4MDd6ajIyaTU4emp5Iiwib3JnYW5pemF0aW9uSWQiOiJjbG1mdnd3NDcwdmc3MDd6ajB4MDNoaTM4IiwiYXBpS2V5SWQiOiJjbG1rNnQxNjMxN24xMDd5ZzAzY2Job2h5Iiwic2VjcmV0IjoiNzk0OGE3YzY4MDc4ZjZiNzlkYWFjM2FiMjAyNGE0MzciLCJpYXQiOjE2OTQ3NTc0MTMsImV4cCI6MjMyNTkwOTQxM30.fVh-VAoadpi8X4WBSZIAbDrRC8dxNmr-tyHabv4AEKU\"\n", + "# Replace with your actual API key\n", + "client = lb.Client(API_KEY)" + ], + "cell_type": "code", + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, + "source": [ + "# Download a public dataset\n" + ], + "cell_type": "markdown" + }, + { + "metadata": {}, + "source": [ + "# Function to download files\n", + "def download_files(filemap):\n", + " path, uri = filemap\n", + " if not os.path.exists(path):\n", + " response = requests.get(uri, stream=True)\n", + " with open(path, 'wb') as f:\n", + " for chunk in response.iter_content(chunk_size=8192):\n", + " f.write(chunk)\n", + " return path" + ], + "cell_type": "code", + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, + "source": [ + "# Download data rows and annotations\n", + "DATA_ROWS_URL = \"https://storage.googleapis.com/labelbox-datasets/VHR_geospatial/geospatial_datarows.json\"\n", + "ANNOTATIONS_URL = \"https://storage.googleapis.com/labelbox-datasets/VHR_geospatial/geospatial_annotations.json\"\n", + "download_files((\"data_rows.json\", DATA_ROWS_URL))\n", + "download_files((\"annotations.json\", ANNOTATIONS_URL))" + ], + "cell_type": "code", + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "'annotations.json'" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" + } + }, + "metadata": {}, + "execution_count": 5 + } + ], + "execution_count": null + }, + { + "metadata": {}, + "source": [ + "# Load data rows and annotations\n", + "with open('data_rows.json') as fp:\n", + " data_rows = json.load(fp)\n", + "with open('annotations.json') as fp:\n", + " annotations = json.load(fp)" + ], + "cell_type": "code", + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, + "source": [ + "# Create a dataset" + ], + "cell_type": "markdown" + }, + { + "metadata": {}, + "source": [ + "# Create a new dataset\n", + "dataset = client.create_dataset(name=\"Geospatial vessel detection\")\n", + "print(f\"Created dataset with ID: {dataset.uid}\")" + ], + "cell_type": "code", + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Created dataset with ID: clu17hp2g00tq073223r7fici\n" + ] + } + ], + "execution_count": null + }, + { + "metadata": {}, + "source": [ + "# Import Data Rows with Metadata" + ], + "cell_type": "markdown" + }, + { + "metadata": {}, + "source": [ + "# Here is an example of adding two metadata fields to your Data Rows: a \"captureDateTime\" field with datetime value, and a \"tag\" field with string value\n", + "metadata_ontology = client.get_data_row_metadata_ontology()\n", + "datetime_schema_id = metadata_ontology.reserved_by_name[\"captureDateTime\"].uid\n", + "tag_schema_id = metadata_ontology.reserved_by_name[\"tag\"].uid\n", + "tag_items = [\"WorldView-1\", \"WorldView-2\", \"WorldView-3\", \"WorldView-4\"]\n", + "\n", + "for datarow in tqdm(data_rows):\n", + " dt = datetime.datetime.utcnow() + datetime.timedelta(days=random.random()*30) # this is random datetime value\n", + " tag_item = random.choice(tag_items) # this is a random tag value\n", + "\n", + " # Option 1: Specify metadata with a list of DataRowMetadataField. This is the recommended option since it comes with validation for metadata fields.\n", + " metadata_fields = [\n", + " DataRowMetadataField(schema_id=datetime_schema_id, value=dt),\n", + " DataRowMetadataField(schema_id=tag_schema_id, value=tag_item)\n", + " ]\n", + "\n", + " # Option 2: Uncomment to try. Alternatively, you can specify the metadata fields with dictionary format without declaring the DataRowMetadataField objects. It is equivalent to Option 1.\n", + " # metadata_fields = [\n", + " # {\"schema_id\": datetime_schema_id, \"value\": dt},\n", + " # {\"schema_id\": tag_schema_id, \"value\": tag_item}\n", + " # ]\n", + "\n", + " datarow[\"metadata_fields\"] = metadata_fields" + ], + "cell_type": "code", + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + " 0%| | 0/798 [00:00\n" + ] + } + ], + "execution_count": null + }, + { + "metadata": {}, + "source": [ + "# Setup a labeling project" + ], + "cell_type": "markdown" + }, + { + "metadata": {}, + "source": [ + "# Initialize the OntologyBuilder\n", + "ontology_builder = OntologyBuilder()\n", + "\n", + "# Assuming 'annotations' is defined and contains the necessary data\n", + "for category in annotations['categories']:\n", + " print(category['name'])\n", + " # Add tools to the ontology builder\n", + " ontology_builder.add_tool(Tool(tool=Tool.Type.BBOX, name=category['name']))\n", + "\n", + "# Create the ontology in Labelbox\n", + "ontology = client.create_ontology(\"Vessel Detection Ontology\",\n", + " ontology_builder.asdict(),\n", + " media_type=lb.MediaType.Image)\n", + "print(f\"Created ontology with ID: {ontology.uid}\")\n", + "\n", + "# Create a project and set up the ontology\n", + "project = client.create_project(name=\"Vessel Detection\", media_type=lb.MediaType.Image)\n", + "project.setup_editor(ontology=ontology)\n", + "print(f\"Created project with ID: {project.uid}\")" + ], + "cell_type": "code", + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "airplane\n", + "ship\n", + "storage_tank\n", + "baseball_diamond\n", + "tennis_court\n", + "basketball_court\n", + "ground_track_field\n", + "harbor\n", + "bridge\n", + "vehicle\n", + "Created ontology with ID: clu191hob03d007zoae2ecoqe\n" + ] + } + ], + "execution_count": null + }, + { + "metadata": {}, + "source": [ + "# Export data rows from the dataset\n", + "data_rows = [dr.uid for dr in dataset.export_data_rows()]\n", + "\n", + "# Randomly select 200 Data Rows (or fewer if the dataset has less than 200 data rows)\n", + "sampled_data_rows = random.sample(data_rows, min(len(data_rows), 200))\n", + "\n", + "# Create a new batch in the project and add the sampled data rows\n", + "batch = project.create_batch(\n", + " \"Initial batch\", # name of the batch\n", + " sampled_data_rows, # list of Data Rows\n", + " 1 # priority between 1-5\n", + ")\n", + "print(f\"Created batch with ID: {batch.uid}\")" + ], + "cell_type": "code", + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Created batch with ID: 18af91d0-e785-11ee-a2af-b9eb4a17f03a\n" + ] + } + ], + "execution_count": null + }, + { + "metadata": {}, + "source": [ + "queued_data_rows = project.export_queued_data_rows()\n", + "labels = []\n", + "\n", + "for datarow in queued_data_rows:\n", + " annotations_list = []\n", + " folder = datarow['externalId'].split(\"/\")[0]\n", + " id = datarow['externalId'].split(\"/\")[1]\n", + " if folder == \"positive_image_set\":\n", + " for image in annotations['images']:\n", + " if image['file_name'] == id:\n", + " for annotation in annotations['annotations']:\n", + " if annotation['image_id'] == image['id']:\n", + " bbox = annotation['bbox']\n", + " category_id = annotation['category_id'] - 1\n", + " class_name = None\n", + " ontology = ontology_builder.asdict() # Get the ontology dictionary\n", + " for category in ontology['tools']:\n", + " if category['name'] == annotations['categories'][category_id]['name']:\n", + " class_name = category['name']\n", + " break\n", + " if class_name:\n", + " annotations_list.append(ObjectAnnotation(\n", + " name=class_name,\n", + " value=Rectangle(start=Point(x=bbox[0], y=bbox[1]), end=Point(x=bbox[2]+bbox[0], y=bbox[3]+bbox[1]))\n", + " ))\n", + " image_data = ImageData(uid=datarow['id'])\n", + " labels.append(Label(data=image_data, annotations=annotations_list))\n" + ], + "cell_type": "code", + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, + "source": [ + "print(labels)" + ], + "cell_type": "code", + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "[Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='baseball_diamond', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=85.0, y=271.0), end=Point(extra={}, x=194.0, y=366.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='baseball_diamond', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=348.0, y=234.0), end=Point(extra={}, x=431.0, y=305.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='baseball_diamond', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=425.0, y=389.0), end=Point(extra={}, x=517.0, y=469.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='ground_track_field', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=493.0, y=85.0), end=Point(extra={}, x=727.0, y=398.0)), classifications=[])], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=162.0, y=99.0), end=Point(extra={}, x=217.0, y=139.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=221.0, y=163.0), end=Point(extra={}, x=280.0, y=206.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=268.0, y=187.0), end=Point(extra={}, x=326.0, y=233.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=368.0, y=244.0), end=Point(extra={}, x=420.0, y=286.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=407.0, y=272.0), end=Point(extra={}, x=466.0, y=316.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=472.0, y=310.0), end=Point(extra={}, x=527.0, y=350.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=521.0, y=339.0), end=Point(extra={}, x=584.0, y=388.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=871.0, y=543.0), end=Point(extra={}, x=931.0, y=587.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=294.0, y=324.0), end=Point(extra={}, x=341.0, y=379.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=211.0, y=285.0), end=Point(extra={}, x=273.0, y=331.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=196.0, y=310.0), end=Point(extra={}, x=256.0, y=355.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=167.0, y=257.0), end=Point(extra={}, x=218.0, y=297.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=146.0, y=285.0), end=Point(extra={}, x=202.0, y=327.0)), classifications=[])], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=103.0, y=10.0), end=Point(extra={}, x=161.0, y=60.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=272.0, y=130.0), end=Point(extra={}, x=330.0, y=177.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=139.0, y=209.0), end=Point(extra={}, x=183.0, y=259.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=434.0, y=165.0), end=Point(extra={}, x=482.0, y=220.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=506.0, y=273.0), end=Point(extra={}, x=553.0, y=308.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=561.0, y=301.0), end=Point(extra={}, x=620.0, y=342.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=652.0, y=271.0), end=Point(extra={}, x=696.0, y=328.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=694.0, y=25.0), end=Point(extra={}, x=736.0, y=70.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=717.0, y=37.0), end=Point(extra={}, x=758.0, y=78.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=759.0, y=44.0), end=Point(extra={}, x=798.0, y=101.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=785.0, y=53.0), end=Point(extra={}, x=829.0, y=115.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=808.0, y=68.0), end=Point(extra={}, x=853.0, y=130.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=920.0, y=128.0), end=Point(extra={}, x=957.0, y=186.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=943.0, y=133.0), end=Point(extra={}, x=988.0, y=193.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=970.0, y=155.0), end=Point(extra={}, x=1012.0, y=209.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=999.0, y=173.0), end=Point(extra={}, x=1033.0, y=220.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=849.0, y=438.0), end=Point(extra={}, x=904.0, y=472.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=906.0, y=469.0), end=Point(extra={}, x=966.0, y=510.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=705.0, y=506.0), end=Point(extra={}, x=748.0, y=558.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=726.0, y=522.0), end=Point(extra={}, x=774.0, y=579.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=394.0, y=590.0), end=Point(extra={}, x=440.0, y=642.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=448.0, y=504.0), end=Point(extra={}, x=484.0, y=553.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=471.0, y=446.0), end=Point(extra={}, x=517.0, y=504.0)), classifications=[])], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='tennis_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=306.0, y=156.0), end=Point(extra={}, x=385.0, y=206.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='tennis_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, 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confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=586.0, y=151.0), end=Point(extra={}, x=665.0, y=263.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=691.0, y=160.0), end=Point(extra={}, x=768.0, y=254.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=777.0, y=160.0), end=Point(extra={}, x=843.0, y=255.0)), classifications=[])], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='baseball_diamond', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=157.0, y=46.0), end=Point(extra={}, x=232.0, y=108.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='tennis_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=228.0, y=482.0), end=Point(extra={}, x=276.0, y=554.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='tennis_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=268.0, y=488.0), end=Point(extra={}, x=314.0, y=559.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='ground_track_field', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=259.0, y=106.0), end=Point(extra={}, x=534.0, y=451.0)), classifications=[])], extra={})]\n" + ] + } + ], + "execution_count": null + }, + { + "metadata": {}, + "source": [ + "upload_job = lb.LabelImport.create_from_objects(\n", + " client=client,\n", + " project_id=project.uid,\n", + " name=f\"label_import_job_{str(uuid.uuid4())}\",\n", + " labels=labels\n", + ")\n", + "\n", + "# Wait for the upload to finish and print the results\n", + "upload_job.wait_until_done()\n", + "\n", + "print(f\"Errors: {upload_job.errors}\")\n", + "print(f\"Status of uploads: {upload_job.statuses}\")" + ], + "cell_type": "code", + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Errors: []\n", + "Status of uploads: [{'uuid': '40dcf4bd-90ed-41f3-9308-1eab46ad46c1', 'dataRow': {'id': 'clu17xcgh1w7k0767j1xpm7gg', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': 'aac72b10-014e-4975-9b55-3cea169391d6', 'dataRow': {'id': 'clu17xcgh1w7k0767j1xpm7gg', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': 'aa5bb39c-785b-488d-a26a-565a983f8650', 'dataRow': {'id': 'clu17xcgh1w7k0767j1xpm7gg', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': 'c490c930-272c-4f4f-b3d6-736848c1df72', 'dataRow': {'id': 'clu17xcgh1w7k0767j1xpm7gg', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': '830ac269-8e76-483c-b2a3-cf16a7f104b8', 'dataRow': {'id': 'clu17xcgh1w6e0767szjoxc1v', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': '45cb473e-31a4-4f0b-a3cd-a4cc8bb60ed8', 'dataRow': {'id': 'clu17xcgh1w6e0767szjoxc1v', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': '0536d9f7-3478-4380-9d1b-c99552bd0171', 'dataRow': {'id': 'clu17xcgh1w6e0767szjoxc1v', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': '48aebc95-cc33-4f9c-a219-b250faad82ac', 'dataRow': {'id': 'clu17xcgh1w6e0767szjoxc1v', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': '81730515-5a2d-48fb-b7b9-03059f8ed5f5', 'dataRow': {'id': 'clu17xcgh1w6e0767szjoxc1v', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': 'bd7891f1-f02a-40e6-bd88-13d13632cb1d', 'dataRow': {'id': 'clu17xcgh1w6e0767szjoxc1v', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': '8048b4de-2d48-4ce3-a2c3-6971937b1b81', 'dataRow': {'id': 'clu17xcgh1w6e0767szjoxc1v', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': '82856e4d-322f-460c-ab05-50b86fca6689', 'dataRow': {'id': 'clu17xcgh1w6e0767szjoxc1v', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': '3b115924-a0cf-4b94-aa28-e24bed0ae87a', 'dataRow': {'id': 'clu17xcgh1w6e0767szjoxc1v', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': '0d14034a-1d4d-432d-9c11-4c6393adf07a', 'dataRow': {'id': 'clu17xcgh1w6e0767szjoxc1v', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': '7bb06915-e016-4793-a0b3-3e85b2976208', 'dataRow': {'id': 'clu17xcgh1w6e0767szjoxc1v', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': 'b9926350-7719-47ba-a1ec-cedf0e852558', 'dataRow': {'id': 'clu17xcgh1w6e0767szjoxc1v', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': 'dd3ff1af-2ca0-419f-bd06-ac981b701284', 'dataRow': {'id': 'clu17xcgh1w6e0767szjoxc1v', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': 'a403e72c-088f-4129-835c-6541c7d54073', 'dataRow': {'id': 'clu17xcgh1w6a0767nkq8dyt1', 'globalKey': None}, 'status': 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'07bb831d-e580-448e-8139-60dc93cb0df4', 'dataRow': {'id': 'clu17xc9h1vm107676w0xvbbi', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': 'e12a1e50-367a-4ea8-ba13-8a70a9385a5b', 'dataRow': {'id': 'clu17xc9h1vm107676w0xvbbi', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': 'eb02cb99-2b1e-45f2-8e3a-0b01378c30c6', 'dataRow': {'id': 'clu17xc9h1vlu0767ccjtc12a', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': '41efb472-c772-4c50-970e-70fd08ed30a5', 'dataRow': {'id': 'clu17xc9h1vlu0767ccjtc12a', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': '5fedbbe4-3bca-49e0-b9b1-4c7e2cfcee74', 'dataRow': {'id': 'clu17xc9h1vlu0767ccjtc12a', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': '3ebd3e7b-d6de-4152-b0aa-09745ac632c3', 'dataRow': {'id': 'clu17xc9h1vlu0767ccjtc12a', 'globalKey': None}, 'status': 'SUCCESS'}]\n" + ] + } + ], + "execution_count": null + } + ] +} \ No newline at end of file From ea5ecca253b0a3c132438385e5351ae714824ea9 Mon Sep 17 00:00:00 2001 From: Sravani Mutta Date: Fri, 22 Mar 2024 20:47:56 +0530 Subject: [PATCH 2/2] feature-import-labeled-image --- .../import_labeled_dataset_image.ipynb | 153 ++---------------- 1 file changed, 10 insertions(+), 143 deletions(-) diff --git a/examples/annotation_import/import_labeled_dataset_image.ipynb b/examples/annotation_import/import_labeled_dataset_image.ipynb index 6ae138268..7f8359a33 100644 --- a/examples/annotation_import/import_labeled_dataset_image.ipynb +++ b/examples/annotation_import/import_labeled_dataset_image.ipynb @@ -9,17 +9,7 @@ "!pip install -q \"labelbox[data]\"" ], "cell_type": "code", - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\u001b[?25l \u001b[90m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b[0m \u001b[32m0.0/237.1 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[91m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b[0m\u001b[90m\u257a\u001b[0m\u001b[90m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b[0m \u001b[32m112.6/237.1 kB\u001b[0m \u001b[31m3.2 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[90m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b[0m \u001b[32m237.1/237.1 kB\u001b[0m \u001b[31m3.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", - "\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", - " Building wheel for pygeotile (setup.py) ... \u001b[?25l\u001b[?25hdone\n" - ] - } - ], + "outputs": [], "execution_count": null }, { @@ -53,8 +43,7 @@ "metadata": {}, "source": [ "# Initialize the Labelbox client\n", - "API_KEY = \"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VySWQiOiJjbG1mdnd3NGwwdmc4MDd6ajIyaTU4emp5Iiwib3JnYW5pemF0aW9uSWQiOiJjbG1mdnd3NDcwdmc3MDd6ajB4MDNoaTM4IiwiYXBpS2V5SWQiOiJjbG1rNnQxNjMxN24xMDd5ZzAzY2Job2h5Iiwic2VjcmV0IjoiNzk0OGE3YzY4MDc4ZjZiNzlkYWFjM2FiMjAyNGE0MzciLCJpYXQiOjE2OTQ3NTc0MTMsImV4cCI6MjMyNTkwOTQxM30.fVh-VAoadpi8X4WBSZIAbDrRC8dxNmr-tyHabv4AEKU\"\n", - "# Replace with your actual API key\n", + "API_KEY = \"\" # Place API key\n", "client = lb.Client(API_KEY)" ], "cell_type": "code", @@ -95,21 +84,7 @@ "download_files((\"annotations.json\", ANNOTATIONS_URL))" ], "cell_type": "code", - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "'annotations.json'" - ], - "application/vnd.google.colaboratory.intrinsic+json": { - "type": "string" - } - }, - "metadata": {}, - "execution_count": 5 - } - ], + "outputs": [], "execution_count": null }, { @@ -140,15 +115,7 @@ "print(f\"Created dataset with ID: {dataset.uid}\")" ], "cell_type": "code", - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Created dataset with ID: clu17hp2g00tq073223r7fici\n" - ] - } - ], + "outputs": [], "execution_count": null }, { @@ -186,22 +153,7 @@ " datarow[\"metadata_fields\"] = metadata_fields" ], "cell_type": "code", - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - " 0%| | 0/798 [00:00\n" - ] - } - ], + "outputs": [], "execution_count": null }, { @@ -313,25 +223,7 @@ "print(f\"Created project with ID: {project.uid}\")" ], "cell_type": "code", - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "airplane\n", - "ship\n", - "storage_tank\n", - "baseball_diamond\n", - "tennis_court\n", - "basketball_court\n", - "ground_track_field\n", - "harbor\n", - "bridge\n", - "vehicle\n", - "Created ontology with ID: clu191hob03d007zoae2ecoqe\n" - ] - } - ], + "outputs": [], "execution_count": null }, { @@ -352,15 +244,7 @@ "print(f\"Created batch with ID: {batch.uid}\")" ], "cell_type": "code", - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Created batch with ID: 18af91d0-e785-11ee-a2af-b9eb4a17f03a\n" - ] - } - ], + "outputs": [], "execution_count": null }, { @@ -404,15 +288,7 @@ "print(labels)" ], "cell_type": "code", - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "[Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='baseball_diamond', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=85.0, y=271.0), end=Point(extra={}, x=194.0, y=366.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='baseball_diamond', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=348.0, y=234.0), end=Point(extra={}, x=431.0, y=305.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='baseball_diamond', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=425.0, y=389.0), end=Point(extra={}, x=517.0, y=469.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='ground_track_field', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=493.0, y=85.0), end=Point(extra={}, x=727.0, y=398.0)), classifications=[])], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=162.0, y=99.0), end=Point(extra={}, x=217.0, y=139.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=221.0, y=163.0), end=Point(extra={}, x=280.0, y=206.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=268.0, y=187.0), end=Point(extra={}, x=326.0, y=233.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=368.0, y=244.0), end=Point(extra={}, x=420.0, y=286.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=407.0, y=272.0), end=Point(extra={}, x=466.0, y=316.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=472.0, y=310.0), end=Point(extra={}, x=527.0, y=350.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=521.0, y=339.0), end=Point(extra={}, x=584.0, y=388.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=871.0, y=543.0), end=Point(extra={}, x=931.0, y=587.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=294.0, y=324.0), end=Point(extra={}, x=341.0, y=379.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=211.0, y=285.0), end=Point(extra={}, x=273.0, y=331.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=196.0, y=310.0), end=Point(extra={}, x=256.0, y=355.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=167.0, y=257.0), end=Point(extra={}, x=218.0, y=297.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=146.0, y=285.0), end=Point(extra={}, x=202.0, y=327.0)), classifications=[])], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=103.0, y=10.0), end=Point(extra={}, x=161.0, y=60.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=272.0, y=130.0), end=Point(extra={}, x=330.0, y=177.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=139.0, y=209.0), end=Point(extra={}, x=183.0, y=259.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=434.0, y=165.0), end=Point(extra={}, x=482.0, y=220.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=506.0, y=273.0), end=Point(extra={}, x=553.0, y=308.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=561.0, y=301.0), end=Point(extra={}, x=620.0, y=342.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=652.0, y=271.0), end=Point(extra={}, x=696.0, y=328.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=694.0, y=25.0), end=Point(extra={}, x=736.0, y=70.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=717.0, y=37.0), end=Point(extra={}, x=758.0, y=78.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=759.0, y=44.0), end=Point(extra={}, x=798.0, y=101.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=785.0, y=53.0), end=Point(extra={}, x=829.0, y=115.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=808.0, y=68.0), end=Point(extra={}, x=853.0, y=130.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=920.0, y=128.0), end=Point(extra={}, x=957.0, y=186.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=943.0, y=133.0), end=Point(extra={}, x=988.0, y=193.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=970.0, y=155.0), end=Point(extra={}, x=1012.0, y=209.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=999.0, y=173.0), end=Point(extra={}, x=1033.0, y=220.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=849.0, y=438.0), end=Point(extra={}, x=904.0, y=472.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=906.0, y=469.0), end=Point(extra={}, x=966.0, y=510.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=705.0, y=506.0), end=Point(extra={}, x=748.0, y=558.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=726.0, y=522.0), end=Point(extra={}, x=774.0, y=579.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=394.0, y=590.0), end=Point(extra={}, x=440.0, y=642.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=448.0, y=504.0), end=Point(extra={}, x=484.0, y=553.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=471.0, y=446.0), end=Point(extra={}, x=517.0, y=504.0)), classifications=[])], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='tennis_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=306.0, y=156.0), end=Point(extra={}, x=385.0, y=206.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='tennis_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=287.0, y=190.0), end=Point(extra={}, x=369.0, y=242.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='basketball_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=400.0, y=187.0), end=Point(extra={}, x=468.0, y=259.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='basketball_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=455.0, y=205.0), end=Point(extra={}, x=524.0, y=278.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='baseball_diamond', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=196.0, y=260.0), end=Point(extra={}, x=361.0, y=397.0)), classifications=[])], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=493.0, y=663.0), end=Point(extra={}, x=539.0, y=705.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=124.0, y=388.0), end=Point(extra={}, x=161.0, y=449.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=201.0, y=415.0), end=Point(extra={}, x=234.0, y=462.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=631.0, y=583.0), end=Point(extra={}, x=687.0, y=622.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=793.0, y=618.0), end=Point(extra={}, x=838.0, y=670.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=810.0, y=337.0), end=Point(extra={}, x=874.0, y=383.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='vehicle', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=917.0, y=230.0), end=Point(extra={}, x=941.0, y=280.0)), classifications=[]), 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confidence=None, name='baseball_diamond', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=405.0, y=49.0), end=Point(extra={}, x=555.0, y=174.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='baseball_diamond', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=575.0, y=321.0), end=Point(extra={}, x=685.0, y=424.0)), classifications=[])], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='tennis_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=649.0, y=181.0), end=Point(extra={}, x=704.0, y=248.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='tennis_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=609.0, y=168.0), end=Point(extra={}, x=665.0, y=235.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='tennis_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=568.0, y=157.0), end=Point(extra={}, x=625.0, y=222.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='tennis_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=527.0, y=145.0), end=Point(extra={}, x=583.0, y=209.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='baseball_diamond', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=369.0, y=145.0), end=Point(extra={}, x=472.0, y=223.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='baseball_diamond', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=97.0, y=186.0), end=Point(extra={}, x=248.0, y=303.0)), classifications=[])], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='tennis_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=222.0, y=264.0), end=Point(extra={}, x=268.0, y=341.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='tennis_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=269.0, y=265.0), end=Point(extra={}, x=316.0, y=341.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='tennis_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=316.0, y=266.0), end=Point(extra={}, x=360.0, y=343.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='basketball_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=165.0, y=259.0), end=Point(extra={}, x=225.0, y=340.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='baseball_diamond', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=692.0, y=144.0), end=Point(extra={}, x=811.0, y=245.0)), classifications=[])], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='bridge', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=84.0, y=208.0), end=Point(extra={}, x=243.0, y=426.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='bridge', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=537.0, y=257.0), end=Point(extra={}, x=629.0, y=406.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='bridge', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=936.0, y=142.0), end=Point(extra={}, x=1104.0, y=339.0)), classifications=[])], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='baseball_diamond', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=596.0, y=328.0), end=Point(extra={}, x=669.0, y=389.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='baseball_diamond', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=350.0, y=215.0), end=Point(extra={}, x=466.0, y=310.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='baseball_diamond', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=99.0, y=310.0), end=Point(extra={}, x=214.0, y=405.0)), classifications=[])], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=82.0, y=326.0), end=Point(extra={}, x=174.0, y=435.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=161.0, y=256.0), end=Point(extra={}, x=293.0, y=343.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=223.0, y=173.0), end=Point(extra={}, x=376.0, y=264.0)), classifications=[])], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='ground_track_field', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=372.0, y=117.0), end=Point(extra={}, x=578.0, y=394.0)), classifications=[])], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='bridge', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=381.0, y=169.0), end=Point(extra={}, x=477.0, y=481.0)), classifications=[])], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=162.0, y=322.0), end=Point(extra={}, x=238.0, y=423.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=260.0, y=328.0), end=Point(extra={}, x=297.0, y=409.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=418.0, y=285.0), end=Point(extra={}, x=478.0, y=376.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=725.0, y=233.0), end=Point(extra={}, x=794.0, y=319.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=797.0, y=232.0), end=Point(extra={}, x=863.0, y=304.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=877.0, y=203.0), end=Point(extra={}, x=972.0, y=315.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=890.0, y=408.0), end=Point(extra={}, x=967.0, y=438.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=983.0, y=389.0), end=Point(extra={}, x=1048.0, y=415.0)), classifications=[])], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='ground_track_field', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=315.0, y=111.0), end=Point(extra={}, x=590.0, y=414.0)), classifications=[])], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=258.0, y=148.0), end=Point(extra={}, x=389.0, y=209.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=284.0, y=202.0), end=Point(extra={}, x=419.0, y=271.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=304.0, y=257.0), end=Point(extra={}, x=431.0, y=322.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=323.0, y=298.0), end=Point(extra={}, x=450.0, y=364.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=345.0, y=353.0), end=Point(extra={}, x=442.0, y=405.0)), classifications=[])], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='baseball_diamond', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=694.0, y=428.0), end=Point(extra={}, x=778.0, y=507.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='baseball_diamond', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=492.0, y=418.0), end=Point(extra={}, x=587.0, y=518.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='baseball_diamond', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=448.0, y=170.0), end=Point(extra={}, x=545.0, y=271.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='tennis_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=289.0, y=138.0), end=Point(extra={}, x=358.0, y=201.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='tennis_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=314.0, y=110.0), end=Point(extra={}, x=382.0, y=174.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='tennis_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=338.0, y=83.0), end=Point(extra={}, x=406.0, y=146.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='tennis_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=363.0, y=55.0), end=Point(extra={}, x=430.0, y=119.0)), classifications=[])], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='baseball_diamond', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=504.0, y=85.0), end=Point(extra={}, x=604.0, y=171.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='basketball_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=164.0, y=312.0), end=Point(extra={}, x=268.0, y=390.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='basketball_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=264.0, y=280.0), end=Point(extra={}, x=372.0, y=361.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='tennis_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=387.0, y=278.0), end=Point(extra={}, x=457.0, y=363.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='tennis_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=438.0, y=264.0), end=Point(extra={}, x=506.0, y=349.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='tennis_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=484.0, y=245.0), end=Point(extra={}, x=555.0, y=335.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='tennis_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=532.0, y=235.0), end=Point(extra={}, x=603.0, y=317.0)), classifications=[])], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=17.0, y=184.0), end=Point(extra={}, x=70.0, y=271.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=69.0, y=176.0), end=Point(extra={}, x=121.0, y=279.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=120.0, y=175.0), end=Point(extra={}, x=171.0, y=280.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=175.0, y=176.0), end=Point(extra={}, x=226.0, y=278.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=236.0, y=173.0), end=Point(extra={}, x=280.0, y=272.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=300.0, y=166.0), end=Point(extra={}, x=345.0, y=270.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=363.0, y=164.0), end=Point(extra={}, x=406.0, y=269.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=425.0, y=160.0), end=Point(extra={}, x=488.0, y=266.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=510.0, y=156.0), end=Point(extra={}, x=580.0, y=261.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=586.0, y=151.0), end=Point(extra={}, x=665.0, y=263.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=691.0, y=160.0), end=Point(extra={}, x=768.0, y=254.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='harbor', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=777.0, y=160.0), end=Point(extra={}, x=843.0, y=255.0)), classifications=[])], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[], extra={}), Label(uid=None, data=ImageData(im_bytes=None,file_path=None,url=None,arr=None), annotations=[ObjectAnnotation(custom_metrics=None, confidence=None, name='baseball_diamond', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=157.0, y=46.0), end=Point(extra={}, x=232.0, y=108.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='tennis_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=228.0, y=482.0), end=Point(extra={}, x=276.0, y=554.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='tennis_court', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=268.0, y=488.0), end=Point(extra={}, x=314.0, y=559.0)), classifications=[]), ObjectAnnotation(custom_metrics=None, confidence=None, name='ground_track_field', feature_schema_id=None, extra={}, value=Rectangle(extra={}, start=Point(extra={}, x=259.0, y=106.0), end=Point(extra={}, x=534.0, y=451.0)), classifications=[])], extra={})]\n" - ] - } - ], + "outputs": [], "execution_count": null }, { @@ -432,16 +308,7 @@ "print(f\"Status of uploads: {upload_job.statuses}\")" ], "cell_type": "code", - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Errors: []\n", - "Status of uploads: [{'uuid': '40dcf4bd-90ed-41f3-9308-1eab46ad46c1', 'dataRow': {'id': 'clu17xcgh1w7k0767j1xpm7gg', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': 'aac72b10-014e-4975-9b55-3cea169391d6', 'dataRow': {'id': 'clu17xcgh1w7k0767j1xpm7gg', 'globalKey': None}, 'status': 'SUCCESS'}, {'uuid': 'aa5bb39c-785b-488d-a26a-565a983f8650', 'dataRow': {'id': 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