jaagli/imagenet-ul
Dataset Description "ImageNet Unique Label" (imagenet-ul) contains 5942 classes, which contains about 1 million images. The data undergoes a multi-step filtering process: To ensure that all classes are not encountered during the pretraining of the vision model, To prevent the sharing of labels between two image classes, To exclude hyponyms from the label set, To ensure that each class contains at least 100 images. It is a subset of ImageNet dataset (Russakovsky, O., Deng, J.… See the full description on the dataset page: https://huggingface.co/datasets/jaagli/imagenet-ul.
| Author / organization | jaagli |
|---|---|
| Downloads | 365 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 19 July 2024 |
| Last updated at source | 22 November 2024 |
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365 now (-10 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Dataset Description "ImageNet Unique Label" (imagenet-ul) contains 5942 classes, which contains about 1 million images. The data undergoes a multi-step filtering process: To ensure that all classes are not encountered during the pretraining → Dataset Description "ImageNet Unique Label" (imagenet-ul) contains 5942 classes, which contains about 1 million images. The data undergoes a multi-step filtering process: To ensure that all classes are not encountered during the pretraining
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