MobileNet-Yolo
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
Run fast object detection models on mobile devices, optimized for performance and low resource usage.
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Free · no card · unsubscribe anytimeMobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
MobileNet-Yolo has 1.7k stars on GitHub. It has been forked 278 times. MobileNet-Yolo is written mainly in C. It has been in active development since 2020. Its main topics are cnn, computer-vision, cv, darknet.
What is MobileNet-Yolo?
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
Is MobileNet-Yolo open source?
MobileNet-Yolo is an open-source project.
Is MobileNet-Yolo free?
Yes. MobileNet-Yolo is free and open source — you can use, modify and self-host it.
What language is MobileNet-Yolo written in?
MobileNet-Yolo is written mainly in C.
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