YOLOX and DAMO-YOLO

YOLOX

Verified

DAMO-YOLO

Emerging

Maintenance 2/25

Adoption 18/25

Maturity 25/25

Community 25/25

Maintenance 0/25

Adoption 10/25

Maturity 16/25

Community 21/25

Stars: 10,373

Forks: 2,448

Downloads: 4,627

Commits (30d): 0

Language: Python

License: Apache-2.0

Stars: 3,145

Forks: 401

Downloads: —

Commits (30d): 0

Language: Python

License: Apache-2.0

Stale 6m No Dependents

Stale 6m No Package No Dependents

About YOLOX

Megvii-BaseDetection/YOLOX

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

Implements decoupled head architecture separating classification and localization branches, with dynamic label assignment during training to improve convergence. Provides multiple model scales from Nano (0.91M parameters) to X (99.1M parameters) optimized for various deployment scenarios, plus native PyTorch training with mixed-precision and distributed multi-machine support.

About DAMO-YOLO

tinyvision/DAMO-YOLO

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

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