Feature/api datset object annotations

.gitignore

@@ -16,3 +16,4 @@ output/
 .venv/
 .env
 !tests/files/*
+.idea

README.md

@@ -2655,6 +2655,46 @@ client.download_dataset_objects(
 )
 ```
 
+### Update Dataset Object
+```python
+dataset_object = client.update_dataset_object(
+    dataset_id="YOUR_DATASET_ID",
+    object_name="brushwood_dog.jpg",
+    tags=["dog"], # max 5 tags per dataset object.
+    annotations=[
+        {
+            "keypoints": [
+                {
+                    "value": [
+                        102.59,
+                        23.04,
+                        1
+                    ],
+                    "key": "head"
+                }
+            ],
+            "attributes": [
+                {
+                    "value": "Scottish field",
+                    "key": "kind"
+                }
+            ],
+            "confidenceScore": 0,
+            "rotation": 0,
+            "points": [
+                0
+            ],
+            "value": "dog",
+            "type": "bbox" # type can be 'bbox', 'segmentation'.
+        }
+    ],
+    custom_metadata={
+      "key": "value",
+      "metadata": "metadata-value"
+    }
+)
+```
+
 ### Delete Dataset Object
 
 Delete a single dataset object.

examples/update_dataset_object.py

@@ -0,0 +1,12 @@
+from pprint import pprint
+
+import fastlabel
+
+client = fastlabel.Client()
+
+dataset_object = client.update_dataset_object(
+    dataset_id="YOUR_DATASET_ID",
+    object_name="OBJECT_NAME",
+    tags=["TAG1", "TAG2"],
+)
+pprint(dataset_object)

fastlabel/__init__.py

@@ -4043,7 +4043,10 @@ def download_dataset_objects(
         for _type, objects in object_map.items():
             base_path = download_path / _type
             with ThreadPoolExecutor(max_workers=4) as executor:
-                futures = [executor.submit(self.__download_dataset_object, base_path, obj) for obj in objects]
+                futures = [
+                    executor.submit(self.__download_dataset_object, base_path, obj)
+                    for obj in objects
+                ]
                 wait(futures)
 
             # check specification
@@ -4113,6 +4116,24 @@ def create_dataset_object(
             payload["customMetadata"] = custom_metadata
         return self.api.post_request(endpoint, payload=payload)
 
+    def update_dataset_object(
+        self,
+        dataset_id: str,
+        object_name: str,
+        tags: Optional[List[str]] = None,
+        annotations: Optional[List[dict]] = None,
+        custom_metadata: Optional[dict] = None,
+    ) -> dict:
+        endpoint = "dataset-objects-v2"
+        payload = {"datasetId": dataset_id, "objectName": object_name}
+        if tags is not None:
+            payload["tags"] = tags
+        if annotations is not None:
+            payload["annotations"] = annotations
+        if custom_metadata is not None:
+            payload["customMetadata"] = custom_metadata
+        return self.api.put_request(endpoint, payload=payload)
+
     def delete_dataset_object(self, dataset_id: str, object_name: str) -> None:
         """
         Delete a dataset object.