We write your reusable computer vision tools. 💜
-
Updated
Jul 5, 2024 - Python
We write your reusable computer vision tools. 💜
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
A simple utility to crop from PNG or JPEG images bounding box annotations in PASCAL VOC formatted annotations. This is useful to extract images (and resize them) for classification or clustering
Most popular metrics used to evaluate object detection algorithms.
Tools for converting Label Studio annotations into common dataset formats
Convert Supervisely to Pascal VOC
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
Implementation of Weakly Supervised Deep Detection Networks using the latest version of PyTorch
A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.
Object Detection Dataset Tools. support dota、coco、yolo、pascal voc dataset convert and dota gap split
Verify Data Annotations in Yolo and PASCAL VOC Format
[AAAI 2024] Official code for "Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection"
Tool used to generate anchor-boxes required for training YOLO networks
COCO形式のJSONファイルをPascal VOC形式のXMLファイルへ変換するスクリプト
Object Detector for Autonomous Vehicles Based on Improved Faster-RCNN
Object Detection Dataset Format Converter
This is a warehouse for DeepLabV3-Xception-pytorch-model, can be used to train your segmentation datasets
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
Add a description, image, and links to the pascal-voc topic page so that developers can more easily learn about it.
To associate your repository with the pascal-voc topic, visit your repo's landing page and select "manage topics."