https://github.com/ethanzhou0826/rotten_apple_classfication

它可以识别苹果是否腐烂，并给出详细的新鲜度分析
https://github.com/ethanzhou0826/rotten_apple_classfication

apple freshness-detection fruit image-classification

Last synced: about 2 months ago
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它可以识别苹果是否腐烂，并给出详细的新鲜度分析

• Host: GitHub
• URL: https://github.com/ethanzhou0826/rotten_apple_classfication
• Owner: EthanZhou0826
• License: mit
• Created: 2023-03-26T05:50:45.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-03-26T06:01:56.000Z (almost 2 years ago)
• Last Synced: 2024-09-11T23:55:18.984Z (4 months ago)
• Topics: apple, freshness-detection, fruit, image-classification
• Language: Jupyter Notebook
• Homepage:
• Size: 919 KB
• Stars: 6
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
#The modified data set contains 5000 apple pictures, including 2000 rotten apples and 2000 fresh apples，Divide training set and test set by 4:1

#Choose ResNet18 for migration learning, and only fine-tune its fully connected layer (last layer), where batch_size is 4 and epoch is 6

#We get a model that is 97% accurate on the test set

#if you want the apple dataset,welcome contact with me.

#wechat:15109007781

#email:[email protected]