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# Snack Image Classification
Vit Snacks
Apache-2.0
A snack image classification model based on ViT architecture, fine-tuned on the Matthijs/snacks dataset with an accuracy of 93.9%
Image Classification
Transformers
TransformersV
Shivagowri
32
0
Vit Base Patch16 224 In21k Snacks
A Vision Transformer model pre-trained on ImageNet-21k and fine-tuned specifically for snack image classification tasks
Image Classification Transformers
TransformersV
matteopilotto
37
0
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