https://github.com/prachi-77/cnn-image-classification
Image Classification using CNN
https://github.com/prachi-77/cnn-image-classification
cnn-classification deep-learning flask-application image-classification python vgg16
Last synced: 2 months ago
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Image Classification using CNN
- Host: GitHub
- URL: https://github.com/prachi-77/cnn-image-classification
- Owner: prachi-77
- Created: 2020-01-30T12:13:07.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-01-30T12:23:18.000Z (over 5 years ago)
- Last Synced: 2025-01-20T04:40:39.501Z (4 months ago)
- Topics: cnn-classification, deep-learning, flask-application, image-classification, python, vgg16
- Language: HTML
- Homepage:
- Size: 8.87 MB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# CNN-Image-Classification
CNN Image Classification is a web application implemented using HTML, Python and Flask. The model is trained using Convolutional Neural Network (CNN) on 25k images of size 150x150 distributed under 6 categories.It classifies nature images into 6 categories-buildings, forest, glacier, mountain,sea and street. For better accuracy, VGG16 was used later in order to achieve maximum accuracy.
The dataset used for training can be found on https://www.kaggle.com/puneet6060/intel-image-classification