Labelformat
A tool for converting computer vision label formats.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Cvat | 11,169 |  | 3 | a month ago | 23 | November 27, 2023 | 504 | mit | TypeScript | |
| Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. | ||||||||||
| Object Detection Metrics | 4,693 | 7 months ago | 1 | mit | Python | |||||
| Most popular metrics used to evaluate object detection algorithms. | ||||||||||
| Review_object_detection_metrics | 939 | 7 months ago | 3 | other | Python | |||||
| 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. | ||||||||||
| Openlabeling | 908 | 2 years ago | 9 | apache-2.0 | Python | |||||
| Label images and video for Computer Vision applications | ||||||||||
| Dataaugmentationforobjectdetection | 609 | 4 years ago | 19 | mit | Jupyter Notebook | |||||
| Data Augmentation For Object Detection | ||||||||||
| Bbox Visualizer | 364 |  | 4 | 4 months ago | 1 | September 25, 2020 | 3 | mit | Python | |
| Make drawing and labeling bounding boxes easy as cake | ||||||||||
| Lightnet | 321 | 6 years ago | 12 | mit | C | |||||
| 🌓 Bringing pjreddie's DarkNet out of the shadows #yolo | ||||||||||
| Copy Paste Aug | 306 | 3 years ago | 6 | mit | Jupyter Notebook | |||||
| Copy-paste augmentation for segmentation and detection tasks | ||||||||||
| Vehicle Detection And Tracking | 296 | 4 years ago | 11 | Python | ||||||
| Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering | ||||||||||
| Bmw Labeltool Lite | 288 | a year ago | 10 | apache-2.0 | C# | |||||
| This repository provides you with an easy-to-use labeling tool for State-of-the-art Deep Learning training purposes. It supports Auto-Labeling. | ||||||||||
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