pancake/few_shot_datasets
Five standard datasets for few-shot classification miniImageNet. It contains 100 classes with 600 images in each class, which are built upon the ImageNet dataset. The 100 classes are divided into 64, 16, 20 for meta-training, meta-validation and meta-testing, respectively. tieredImageNet. TieredImageNet is also a subset of ImageNet, which includes 608 classes from 34 super-classes. Compared with miniImageNet, the splits of meta-training(20), meta-validation(6) and… See the full description on the dataset page: https://huggingface.co/datasets/pancake/few_shot_datasets.
| Author / organization | pancake |
|---|---|
| License (as declared) | mit |
| Downloads | 316 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 13 July 2022 |
| Last updated at source | 13 July 2022 |
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- 17 Oct 2026 Description: Five standard datasets for few-shot classification miniImageNet. It contains 100 classes with 600 images in each class, which are built upon the ImageNet dataset. The 100 classes are divided into 64, 16, 20 for meta-training, meta-validatio → Five standard datasets for few-shot classification miniImageNet. It contains 100 classes with 600 images in each class, which are built upon the ImageNet dataset. The 100 classes are divided into 64, 16, 20 for meta-training, meta-validatio
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