stojnvla/ilias-core

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

Composition

The dataset includes 1,000 object instances across diverse domains, with:

• 5,947 images in total:
  • 1,232 image queries, depicting query objects on clean or uniform background
  • 4,715 positive images, featuring the query objects in real-world conditions with clutter, occlusions, scale variations, and partial views
• 1,000 text queries, providing fine-grained textual descriptions of the query objects
• 100M distractors from YFCC100M to evaluate retrieval performance under large-scale settings, while asserting noise-free ground truth

Dataset details

This repository contains only the ILIAS core dataset, i.e., 5,947 images (1,232 queries and 4,715 positives) and 1,000 text queries, collected by ILIAS team. To download and use the distractor set of YFCC100M, used in ILIAS paper, please follow the instructions on the github.

Loading the dataset

To load the dataset using HugginFace datasets, you first need to pip install datasets, then run the following code:

from datasets import load_dataset

ilias_core_img_queries = load_dataset("stojnvla/ilias-core", name="img_queries") # or "text_queries" or "core_db"

Citation

If you use ILIAS in your research or find our work helpful, please consider citing our paper

@inproceedings{ilias2025,
  title={{ILIAS}: Instance-Level Image retrieval At Scale},
  author={Kordopatis-Zilos, Giorgos and Stojnić, Vladan and Manko, Anna and Šuma, Pavel and Ypsilantis, Nikolaos-Antonios and Efthymiadis, Nikos and Laskar, Zakaria and Matas, Jiří and Chum, Ondřej and Tolias, Giorgos},
  booktitle={Computer Vision and Pattern Recognition (CVPR)},
  year={2025},
}