https://github.com/PaddlePaddle/PaddleDetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
https://github.com/PaddlePaddle/PaddleDetection

blazeface deepsort detr face-detection fairmot faster-rcnn fcos human-activity-recognition human-pose-estimation instance-segmentation mask-rcnn multi-object-tracking object-detection picodet pp-yolo rt-detr yolov3 yolov5 yolov7 yolox

Last synced: 3 months ago
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Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

• Host: GitHub
• URL: https://github.com/PaddlePaddle/PaddleDetection
• Owner: PaddlePaddle
• License: apache-2.0
• Created: 2019-10-25T07:21:14.000Z (about 5 years ago)
• Default Branch: release/2.7
• Last Pushed: 2024-07-16T07:08:19.000Z (6 months ago)
• Last Synced: 2024-07-16T11:52:11.519Z (6 months ago)
• Topics: blazeface, deepsort, detr, face-detection, fairmot, faster-rcnn, fcos, human-activity-recognition, human-pose-estimation, instance-segmentation, mask-rcnn, multi-object-tracking, object-detection, picodet, pp-yolo, rt-detr, yolov3, yolov5, yolov7, yolox
• Language: Python
• Homepage:
• Size: 412 MB
• Stars: 12,410
• Watchers: 196
• Forks: 2,846
• Open Issues: 1,234
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• awesome-python-machine-learning-resources - GitHub - 20% open · ⏱️ 16.08.2022): (图像数据与CV)
• awesome-list - PaddleDetection - Object detection toolkit based on PaddlePaddle (Deep Learning Framework / High-Level DL APIs)
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• awesome-yolo-object-detection - PaddlePaddle/PaddleDetection - YOLO: An Effective and Efficient Implementation of Object Detector". (**[arXiv 2020](https://arxiv.org/abs/2007.12099)**) (Other Versions of YOLO)
• awesome-yolo-object-detection - PaddlePaddle/PaddleDetection - YOLO: An Effective and Efficient Implementation of Object Detector". (**[arXiv 2020](https://arxiv.org/abs/2007.12099)**) (Other Versions of YOLO)