To help industrial intelligent production quality inspection, develop and build a hot-rolled steel defect detection and recognition system based on yolov5n/s/m series models with different precisions, and compare and analyze performance differences - Code World

To help industrial intelligent production quality inspection, develop and build a hot-rolled steel defect detection and recognition system based on yolov5n/s/m series models with different precisions, and compare and analyze performance differences

Enterprise 2023-06-25 03:39:38 views: null

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Origin blog.csdn.net/Together_CZ/article/details/131189477

To help industrial intelligent production quality inspection, develop and build a hot-rolled steel defect detection and recognition system based on yolov5n/s/m series models with different precisions, and compare and analyze performance differences

To help detect environmental protection issues, develop and build bare soil detection and recognition models of different magnitudes based on the full series of YOLOv5 models [n/s/m/l/x], and analyze the detection performance by comparing experiments

To assist "intelligent manufacturing" in industrial production, we develop and construct a cloth defect detection and identification system in textile production scenarios based on the full range of YOLOv8 models [n/s/m/l/x].

Develop and build a ball screw drive surface defect image recognition system in industrial production and manufacturing scenarios based on the lightweight GhostNet model

Intelligent defect detection system based on AI image recognition, application in the steel industry - technical solution

Based on the full range of yolov5 models [n/s/m/l/x], develop and construct a fine-grained target detection and recognition system for cats with different parameter levels

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Defect Recognition and Detection System Based on Matlab

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Develop and build a photovoltaic solar cell defect image recognition and analysis system based on the lightweight neural network GhostNet

Assist in quality inspection and maintenance, develop and build a cement infrastructure crack segmentation recognition system based on the ultra-lightweight segmentation model ege-unet

Develop and build the CCTSDB2021 traffic sign detection and recognition system in road traffic scenarios based on YOLOv6

Develop and build the CCTSDB2021 traffic sign detection and recognition system in road traffic scenarios based on YOLOv3

Assist the digital transformation of the breeding industry and develop and build a cow face recognition system based on deep learning models

Building an intelligent optical character defect detection system based on Anomalib

Based on the YOLOv5 series [n/s/m/l] model development and construction of human gesture target detection, recognition and analysis system

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Thesis research | Steel surface defect detection based on machine vision

PCB defect detection and counting system based on YOLOv5+Deepsort

Defect detection based on deep learning recognition model

Develop and build a face recognition system based on arcFace+faiss

Application of YOLOv5 in industrial quality inspection

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AI visual inspection helps industrial production realize intelligent upgrade

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Based on the full series of YOLOv8 [n/s/m/l/x], the CCTSDB2021 traffic sign detection and recognition system under road traffic scenarios is developed and constructed.

Interpretation and reproduction of SCI paper [NO.3] MSFT-YOLO: Improved YOLOv5 steel surface defect detection based on transformer (code has been reproduced)

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