MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

A caffe implementation of MobileNet-YOLO detection network

I transfer the backend of yolov3 into Mobilenetv1，VGG16，ResNet101 and ResNeXt101

这是一个mobilenet-yolov4的库，把yolov4主干网络修改成了mobilenet，修改了Panet的卷积组成，使参数量大幅度缩小。

yolov3 with mobilenetv2 and efficientnet

A windows caffe implementation of YOLO detection network

Object detection with ssd_mobilenet and tiny-yolo (Add: YOLOv3, tflite)

An experiment of transferring backbone of yolov3 into mobilenetv3

mobilenet 与darknet yolo

Gluon-Mobilenet-yolov3

k210(MaixPy)/V831 model example train code, include mobilenet classifier and YOLO V2 detector

这是一个mobilenet-yolov4的库，把yolov4主干网络修改成了mobilenet，修改了Panet的卷积组成，使参数量大幅度缩小。

This is an improvement strategy based on YOLOv8, which uses MobileNetv4 to improve the model. It can reduce the parameters of the model and improve the model accuracy.

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一种基于YOLOv3/4的双流混合模态道路行人检测方法🌊💧💦。

这是一个mobilenet-yolov4的库，把yolov4主干网络修改成了mobilenet，修改了Panet的卷积组成，使参数量大幅度缩小。

Include mobilenet series (v1,v2,v3...) and yolo series (yolov3,yolov4,...)

Training and implementation program for light weight YOLOv3-MobileNet v2

replace YOLOv5 tag=4.0 backbone : MobileNetV2@1.0 and MobileNetV2@0.25

MobileNetV2-YOLOV3-Nano NCNN sample

分别基于DarkNet53和MobileNet-V2两个网络实现yolo-v3

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Pure C++ implementation of YoloV3 + MobileNetV2 detection library in caffe

Created a computer vision pipeline to detect and classify cars as SUVs or sedans using transfer learning on Mobilenet and object detection using YOLOv3.

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An implementation of YOLOv1 for object detection in TensorFlow.

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yolov3 using tensorflow with mobilenet