https://github.com/dharma-acha/imageclassification
This project is an interactive Streamlit web application using the VGG-13 model to classify images from the CIFAR-10 dataset. Users can upload images to receive real-time predictions and visual explanations of the model's decisions. The goal is to accurately classify images into one of the ten CIFAR-10 classes: airplanes, automobiles, birds, cats,
https://github.com/dharma-acha/imageclassification
colab-notebook matplotlib numpy pandas python3 pytorch scikit-learn seaborn streamlit
Last synced: 7 months ago
JSON representation
This project is an interactive Streamlit web application using the VGG-13 model to classify images from the CIFAR-10 dataset. Users can upload images to receive real-time predictions and visual explanations of the model's decisions. The goal is to accurately classify images into one of the ten CIFAR-10 classes: airplanes, automobiles, birds, cats,
- Host: GitHub
- URL: https://github.com/dharma-acha/imageclassification
- Owner: dharma-acha
- Created: 2024-05-30T16:33:02.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-06-06T05:05:28.000Z (over 1 year ago)
- Last Synced: 2025-05-31T15:29:24.352Z (8 months ago)
- Topics: colab-notebook, matplotlib, numpy, pandas, python3, pytorch, scikit-learn, seaborn, streamlit
- Language: Jupyter Notebook
- Homepage:
- Size: 333 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md