"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., Su… See the full description on the dataset page:
https://huggingface.co/datasets/jaagli/imagenet-ul.
