gorkemgul/VGG-Hub
A comprehensive collection of PyTorch implementations for the VGG (Visual Geometry Group) models
This project helps researchers and developers working in computer vision implement VGG (Visual Geometry Group) deep learning models. It provides ready-to-use PyTorch code for various VGG architectures, which can be trained on your own image datasets to classify or recognize objects. Computer vision scientists and AI engineers use this for building image recognition systems.
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Use this if you need to quickly implement and train VGG models for image classification or other computer vision tasks on your own custom datasets.
Not ideal if you are not familiar with deep learning frameworks like PyTorch or do not have a programming background.
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Language
Python
License
MIT
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Last pushed
May 11, 2024
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