jordandeklerk/SwinViT
Modified Swin Transformer model in PyTorch on CIFAR-10 for image classification
This project helps computer vision researchers and practitioners quickly develop and train high-accuracy image classification models, especially for smaller datasets. It takes raw image data, like the CIFAR-10 dataset, and outputs a trained Swin Transformer model capable of categorizing images with high precision. Researchers focused on efficient image recognition or those working with limited computational resources would find this useful.
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Use this if you are a computer vision researcher or ML engineer looking to implement and train a high-performance Swin Transformer model for image classification on small to medium-sized image datasets.
Not ideal if you are a business user looking for a ready-to-use image classification API or a non-technical person without Python programming experience.
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10
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Language
Python
License
MIT
Category
Last pushed
May 05, 2025
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