https://github.com/geekquad/cifar-10

Object Recognition in Images. This project uses CNN for the classification and recognition tasks.
https://github.com/geekquad/cifar-10

cifar-10 image-processing mnist-dataset python3 pytorch recognition

Last synced: 8 months ago
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Object Recognition in Images. This project uses CNN for the classification and recognition tasks.

• Host: GitHub
• URL: https://github.com/geekquad/cifar-10
• Owner: geekquad
• Created: 2020-05-18T14:09:48.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-05-24T07:00:33.000Z (over 5 years ago)
• Last Synced: 2025-01-07T05:16:49.503Z (9 months ago)
• Topics: cifar-10, image-processing, mnist-dataset, python3, pytorch, recognition
• Language: Jupyter Notebook
• Homepage:
• Size: 4.01 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# CIFAR-10-Object-Recognition-in-Images

 The CIFAR-10 dataset contains 60,000 32x32 color images in 10 different classes. 

 The 10 different classes represent airplanes, cars, birds, cats, deer, dogs, frogs, horses, ships, and trucks. There are 6,000 images of each class. 

 CIFAR-10 DATASET: