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. teapot
    0.983
  2. coffeepot
    0.009
  3. water jug
    0.001
  4. coffee mug
    0.000
  5. pitcher, ewer
    0.000