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license: apache-2.0 |
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# ViT Fine-tuned on Stanford Car Dataset |
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Base model: https://huggingface.co/google/vit-base-patch16-224 |
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This achieves around 82% on the testing set |
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Dataset Description: |
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The Stanford car dataset contains 16,185 images of 196 classes of cars. The data is split into 8,144 training images, 6,041 testing images, and 2000 validation images. |
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Citations: |
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3D Object Representations for Fine-Grained Categorization |
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Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei |
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4th IEEE Workshop on 3D Representation and Recognition, at ICCV 2013 (3dRR-13). Sydney, Australia. Dec. 8, 2013. |
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