[Practical Selection] Fruit Recognition System: Improvement of BoTNet-Transformer YOLOv7 - Code World

[Practical Selection] Fruit Recognition System: Improvement of BoTNet-Transformer YOLOv7

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Origin blog.csdn.net/cheng2333333/article/details/134996298

[Practical Selection] Fruit Recognition System: Improvement of BoTNet-Transformer YOLOv7

[YOLOv7] Animal recognition system based on YOLOv7 (source code & deployment tutorial)

yolov7 improvement series

Fruit (apple) detection and recognition on Python+Yolov5 fruit tree

[Target detection] Helmet wearing detection and recognition based on yolov7 (with code and data set, Ubuntu system)

Based on yolov7 development and construction of student classroom behavior detection and recognition system

Development and construction of infrared high-altitude small target detection and recognition analysis system based on YOLOv7

Detailed explanation of YOLOv7 improvement

yolov7 crops out the recognition results

Technology improves safety. Based on YOLOv7 [tiny/yolov7/yolov7x], a pedestrian safety behavior and attitude detection and recognition system in supermarket escalator scenarios is developed and constructed.

High-precision real-time 19 types of animal target detection and recognition system based on YOLOv7 algorithm (PyTorch+Pyside6+YOLOv7)

High-precision real-time universal target detection and recognition system based on YOLOv7 algorithm (PyTorch+Pyside6+YOLOv7)

High-precision real-time face mask detection and recognition system based on YOLOv7 algorithm (PyTorch+Pyside6+YOLOv7)

High-precision real-time deep-sea fish target detection and recognition system based on YOLOv7 algorithm (PyTorch+Pyside6+YOLOv7)

High-precision real-time QR code target detection and recognition system based on YOLOv7 algorithm (PyTorch+Pyside6+YOLOv7)

High-precision real-time football target detection and recognition system based on YOLOv7 algorithm (PyTorch+Pyside6+YOLOv7)

High-precision real-time infrared pedestrian target detection and recognition system based on YOLOv7 algorithm (PyTorch+Pyside6+YOLOv7)

High-precision real-time safety vest target detection and recognition system based on YOLOv7 algorithm (PyTorch+Pyside6+YOLOv7)

[YOLOv7/YOLOv5 series algorithm improvement NO.7] Loss function improvement

YOLOV7 improvement: replace WIOU to achieve lossless gains

Fruit shop to buy fruit system

[YOLOv8/YOLOv7/YOLOv5/YOLOv4/Faster-rcnn series algorithm improvement NO.65] CVPR 2023 | Tsinghua team's plug-and-play network architecture—Slide-Transformer

YOLOV5/YOLOV7/YOLOV8 Improvement Column

Fruit Recognition Apple Recognition Orange Recognition Banana Recognition

Practical improvement (6)

YOLOv7 algorithm reconstruction: personal self-improvement, as simple as YOLOv5, only 31 layers

Gain point artifact: small target performance improvement based on Yolov5/Yolov7

Yolov5/Yolov7 improvement --- attention mechanism: ShuffleAttention, ECA, EffectiveSE, SE

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Artificial Intelligence Large Model Principles and Practical Applications: Speech Recognition System

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