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/
Detect objects in images using a simplified and efficient version of the YOLO model.
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YOLOX has 10.5k stars on GitHub. It has been forked 2.5k times. YOLOX is written mainly in Python. It has been in active development since 2021. YOLOX is available under the Apache-2.0 license. Its main topics are deep-learning, megengine, ncnn, object-detection.
What is 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/
Is YOLOX open source?
YOLOX is an open-source project. It is released under the Apache-2.0 license.
Is YOLOX free?
Yes. YOLOX is free and open source — you can use, modify and self-host it.
What license does YOLOX use?
YOLOX is available under the Apache-2.0 license.
What language is YOLOX written in?
YOLOX is written mainly in Python.
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