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  The **ImageNet-Hard** contains challenging images sourced from the validation datasets of ImageNet.
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  ## Supported Tasks
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  - `image-classification`: The objective of this task is to classify an image into one or more classes, selected from 1000 ImageNet categories (allowing for multiple ground-truth labels per image).
 
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  The **ImageNet-Hard** contains challenging images sourced from the validation datasets of ImageNet.
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+ ### Classifiers Performance
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+ | Model | Accuracy |
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+ | ------------------- | ----- |
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+ | ResNet-18 | 9.41 |
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+ | ResNet-50 | 12.56 |
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+ | ViT-B/32 | 15.95 |
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+ | VGG19 | 10.32 |
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+ | AlexNet | 6.35 |
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+ | CLIP-ViT-L/14@224px | 1.86 |
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+ | CLIP-ViT-L/14@336px | 2.02 |
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+ | EfficientNet-L2-Ns | 34.23 |
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  ## Supported Tasks
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  - `image-classification`: The objective of this task is to classify an image into one or more classes, selected from 1000 ImageNet categories (allowing for multiple ground-truth labels per image).