Image-Classification-Using-Vision-Transformers

Academic Project where Image Classification has been explored using CNN based techniques and Tranformer Models.

At the End Results are compared.

Details can be found in the report.

Dataset Used

Ham10000 dataset - Link

CNN Models Explored

1. ResNet50
2. VGG16
3. DenseNet121
4. VGG19
5. ResNet152

Transformer Models Explored

1. Vision Transformer (ViT)
2. Convolutional Vision Transformer (CvT)
3. BERT Pre-Training of Image Transformers (BEiT)
4. Hierarchical Vision Transformer using Shifted Windows (Swin Transformer)