GitHub - dog-qiuqiu/FastestDet: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler - discu.eu

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FastestDet: a new ultra real-time anchor free target detection algorithm designed for ARM CPU, with only 250K parameters https://github.com/dog-qiuqiu/FastestDet 2 comments 4/7/2022 computervision

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GitHub - axinc-ai/ailia-models: The collection of pre-trained, state-of-the-art AI models for ailia SDK https://github.com/axinc-ai/ailia-models 0 comments

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GitHub - ultralytics/yolov5: YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite https://github.com/ultralytics/yolov5 25 comments
GitHub - meituan/YOLOv6: YOLOv6: a single-stage object detection framework dedicated to industrial applications. https://github.com/meituan/YOLOv6 7 comments
GitHub - Tencent/ncnn: ncnn is a high-performance neural network inference framework optimized for the mobile platform https://github.com/Tencent/ncnn 0 comments
GitHub - 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/ https://github.com/Megvii-BaseDetection/YOLOX 0 comments

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