GitHub - 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%. · GitHub

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
static		static
templates		templates
Dockerfile		Dockerfile
app.py		app.py
checkpoint.pt		checkpoint.pt
natural-scenes-image-classification-using-cnns.ipynb		natural-scenes-image-classification-using-cnns.ipynb
natural_scenes_image_classifier.pt		natural_scenes_image_classifier.pt
natural_scenes_image_resnet_classifier.pt		natural_scenes_image_resnet_classifier.pt
requirements.txt		requirements.txt

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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%.

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

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