Image Classification Using Google Vision Transformer (ViT)

Overview: Vision Transformer (ViT) model pre-trained on ImageNet-21k (14 million images, 21,843 classes) at resolution 224x224, and fine-tuned on ImageNet 2012 (1 million images, 1,000 classes) at resolution 224x224. Source: https://huggingface.co/google/vit-base-patch16-224

Input Image

Prediction Output

  1. bullet train, bullet
    0.101
  2. toaster
    0.092
  3. oil filter
    0.020
  4. passenger car, coach, carriage
    0.019
  5. electric locomotive
    0.017