ImageNet 50 samples per class
Introduced by Brigato et al. in Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
This ImageNet version contains only 50 training images per class while the original testing set remains unchanged. It is one of the datasets comprising the data-efficient image classification (DEIC) benchmark. It was proposed to challenge the generalization capabilities of modern image classifiers.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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ImageNet 50 samples per class
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Harmonic Networks
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Papers
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