Model test comparison and conclusion of YOLOv5 YOLOv7 YOLOv8 - Code World

Model test comparison and conclusion of YOLOv5 YOLOv7 YOLOv8

Enterprise 2023-09-16 04:13:55 views: null

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Origin blog.csdn.net/qq_42835363/article/details/131852294

Model test comparison and conclusion of YOLOv5 YOLOv7 YOLOv8

YOLOv8 use introduction and YOLOv7, YOLOv6, YOLOv5 performance comparison

Video target detection yolo algorithm small model self-training model comparison (yolov5 yolov7 yolov8)

YOLOV5/YOLOV7/YOLOV8 Improvement Column

[YOLO series] YOLOv5, YOLOX, YOOv6, YOLOv7 network model structure

# YOLOv8 test (1)

YOLOv8 test record

yolov8 test notes

Yolov7 frame diagram comparison

yolov8 series [4]-yolov8 model deployment

yolov3 yolov4 yolov5 yolov6 yolov7 yolov8 yolox Algorithm improvement, algorithm customization, algorithm guidance

Nanny level tutorial - YOLO series (YOLOv5/YOLOv7/YOLOv8) algorithm training data set

[YOLOv7/YOLOv5 series improvement NO.52] Integrating the C2f module in YOLOv8

yolov5 training model

yolov5 model to tensorRT

【Yolov7】Configuration parameters and training model

[yolov5] An error occurred in the yolov5 training model

Улучшение Yolov5/Yolov7 --- механизм внимания: DoubleAttention, SKAttention, расширенная версия SENet

YOLOv8 model deployment based on AidLux

Training YOLOv8 instance segmentation model

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement [NO.67] Add attention mechanism MHSA

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement [NO.71] attention mechanism Expectation-Maximization Attention (EMA module)

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement [NO.72] attention mechanism Linear Context Transform Block (LCT module)

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement [NO.73] Adding asymptotic feature pyramid network (AFPN module)

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvements [NO.79] The improved loss function is VariFocal Loss

YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvements [NO.83] Change the backbone feature extraction network Backbone to RevCol

yolov5 onnx model to rknn model

Yolov8 reproduction and simple test record

Briefly describe the difference between YOLOv8 and YOLOv5

YOLOv5, YOLOv8 improvements-BIFPN

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