https://github.com/sayamalt/natural-scenes-image-classification-using-cnns
Successfully established an image classification model using PyTorch to classify the images of several distinct natural sceneries such as mountains, glaciers, forests, seas, streets and buildings with an accuracy of 86%.
https://github.com/sayamalt/natural-scenes-image-classification-using-cnns
convolutional-neural-networks deep-learning fine-tuning-cnns flask-deployment image-classification image-transformations model-inference model-training-and-evaluation multiclass-classification pytorch resnet50-model torch-dataloader
Last synced: 3 months ago
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Successfully established an image classification model using PyTorch to classify the images of several distinct natural sceneries such as mountains, glaciers, forests, seas, streets and buildings with an accuracy of 86%.
- Host: GitHub
- URL: https://github.com/sayamalt/natural-scenes-image-classification-using-cnns
- Owner: SayamAlt
- Created: 2024-12-24T21:11:46.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-12-24T22:17:15.000Z (5 months ago)
- Last Synced: 2025-02-19T21:14:18.100Z (3 months ago)
- Topics: convolutional-neural-networks, deep-learning, fine-tuning-cnns, flask-deployment, image-classification, image-transformations, model-inference, model-training-and-evaluation, multiclass-classification, pytorch, resnet50-model, torch-dataloader
- Language: Jupyter Notebook
- Homepage:
- Size: 11.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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