Research on garment image classification and detection algorithm based on improved deep learning

Author:

Ren Fei1,Liu Ye2,Gao Pengfei2,Devaraj Madhavi1,Zhang Jiahui2,Li Hongsheng2

Affiliation:

1. Mapua University,School of Information Technology,Manila,Philippines

2. Nanjing Institute of Technology,School of Automation,Nanjing,China

Publisher

IEEE

Reference12 articles.

1. Embossed character recognition based on improved LeNet-5 [J];zhicheng;Computer Simulation,2022

2. A method of classifying crumpled clothing based on image features derived from clothing fabrics and wrinkles

3. Research of Yolo Architecture Models in Book Detection[P];maria;8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020),2020

4. Determining the efficacy of Transfer Learning-based ResNet models in Chest X-ray image classification for detecting Covid-19 pneumonia[J];sadia;Chemometrics and Intelligent Laboratory Systems,2022

5. Rapid DNA origami nanostructure detection and classification using the Yolov5 deep convolutional neural network[J];matthew;Scientific Reports,2022

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1. Classification of Ethnic Dress Based on ResNet;2023 International Conference on Advances in Electrical Engineering and Computer Applications (AEECA);2023-08-18

2. Research on Chinese traditional opera costume recognition based on improved YOLOv5;Heritage Science;2023-02-25

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