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DagsHub / papers-with-everything

Machine Learning papers with code, data and models
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Added: YOLOX (A high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. #26

Closed arnavrneo closed 7 months ago

arnavrneo commented 1 year ago

Issue #24

YOLOX is an anchor-free version of YOLO, with a simpler design but better performance! It aims to bridge the gap between research and industrial communities. It exceeds yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported.

Tasks done

:white_check_mark: Model readme added :white_check_mark: DVC added :white_check_mark: Relevant tags added :white_check_mark: The DagsHub repo is available on YOLOX (A high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported.

deanp70 commented 1 year ago

Can you still remove the VT-LPR readme from this? It makes the review confusing