Path: model/light-models/legacy-models/yolox_nano.pth model/light-models/legacy-models/yolox_tiny_32dot8.pth model/light-models/yolox_nano.pth model/light-models/yolox_tiny.pth model/standard-models/legacy-models/yolox_darknet53.pth model/standard-models/legacy-models/yolox_l.pth model/standard-models/legacy-models/yolox_m.pth model/standard-models/legacy-models/yolox_s.pth model/standard-models/legacy-models/yolox_x.pth model/standard-models/yolox_darknet.pth model/standard-models/yolox_l.pth model/standard-models/yolox_m.pth model/standard-models/yolox_s.pth model/standard-models/yolox_x.pth
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
model computer vision object detection autonomous driving real-time object detection dvc git github