#5454th of 56 in ML frameworks and libraries
paddledetection
Object detection toolkit on PaddlePaddle with tracking, keypoints and export tools
- Stars
- 14.4k
- License
- Apache-2.0
- Last commit
- Mar 2026
- Last release
- Mar 2026
- Language
- Python
Missed the latest GitHub check; these facts may be older.
Overview
PaddleDetection is an end-to-end object detection suite built on PaddlePaddle. It bundles modular backbones, necks and losses with a model zoo covering 2D detection, instance segmentation, rotated boxes, multi-object tracking and keypoints, plus pipelines such as PP-Human and PP-Vehicle. Models export to Paddle Inference, Paddle Lite, Paddle Serving and ONNX.
Who it is for: CV engineers training and deploying detection models on PaddlePaddle
Strengths
- Wide model zoo: Faster RCNN, YOLOX, PP-YOLOE, RT-DETR, PicoDet, DETR variants
- Deploys via Paddle Inference (Python/C++), Paddle Lite, Paddle Serving or ONNX export
- Ready-made pedestrian and vehicle analysis, tracking and keypoint pipelines
- Training supports FP16, multi-machine runs, and PaddleSlim pruning, quantization, distillation
Weaknesses
- Requires the PaddlePaddle framework rather than PyTorch
- README and many docs are primarily in Chinese
- README quick start now points to PaddleX, not the native workflow
- No Docker or compose files detected in the repository
What it needs
- GPU optional
- Needs PaddlePaddle, PaddleSlim, Paddle Lite, Paddle Serving
- Models: PP-YOLOE, RT-DETR, PP-PicoDet, Faster RCNN, YOLOX
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