ILIAS is a large-scale test dataset for evaluation on Instance-Level Image retrieval At Scale. It is designed to support future research in image-to-image and text-to-image retrieval for particular objects and serves as a benchmark for evaluating representations of foundation or customized vision and vision-language models, as well as specialized retrieval techniques.
website | download | arxiv | github
The dataset includes 1,000 object instances across… See the full description on the dataset page:
https://huggingface.co/datasets/vrg-prague/ilias.
