README.md

---
language:
- en
license: cc
size_categories:
- 10M<n<100M
pretty_name: ilias
configs:
- config_name: img_queries
  data_files:
  - split: img_queries
    path: ilias-core-queries-img-000000.tar
- config_name: text_queries
  data_files:
  - split: text_queries
    path: ilias-core-queries-text-000000.tar
- config_name: core_db
  data_files:
  - split: core_db
    path: ilias-core-db-000000.tar
- config_name: mini_distractors
  data_files:
  - split: mini_distractors
    path: mini_ilias_yfcc100m-*.tar
- config_name: distractors_100m
  data_files:
  - split: distractors_100m
    path: yfcc100m-*.tar
dataset_info:
- config_name: img_queries
  features:
  - name: jpg
    dtype: Image
  - name: bbox.json
    list:
      list: int64
  - name: download_url.txt
    dtype: string
  - name: __key__
    dtype: string
- config_name: core_db
  features:
  - name: jpg
    dtype: Image
  - name: bbox.json
    list:
      list: int64
  - name: download_url.txt
    dtype: string
  - name: __key__
    dtype: string
- config_name: text_queries
  features:
  - name: txt
    dtype: string
  - name: __key__
    dtype: string
- config_name: mini_distractors
  features:
  - name: jpg
    dtype: Image
  - name: __key__
    dtype: string
- config_name: distractors_100m
  features:
  - name: jpg
    dtype: Image
  - name: __key__
    dtype: string
tags:
- instance-level-retrieval
- image-retrieval
task_categories:
- image-to-image
- text-to-image
---

<p align="center">
<img src="https://github.com/ilias-vrg/ilias/raw/main/misc/logo/banner.png" width="100%"/>
</p>

**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**](https://vrg.fel.cvut.cz/ilias/)  |  [**download**](https://vrg.fel.cvut.cz/ilias_data/)  |  [**arxiv**](https://arxiv.org/abs/2502.11748) |  [**github**](https://github.com/ilias-vrg/ilias)

## 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 the **ILIAS** dataset split into the following splits: 
* ILIAS core collected by the ILIAS team:
  * 1,232 image queries (```img_queries```),
  * 4,715 positive images (```core_db```),
  * 1,000 text queries (```text_queries```),
* mini set of 5M distractors from YFCC100M (```mini_distractors```),
* full set of 100M distractors from YFCC100M (```distractors_100m```).

## 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("vrg-prague/ilias", name="img_queries") # or "text_queries" or "core_db" or "mini_distractors" or "distractors_100m"
```

## Citation
If you use ILIAS in your research or find our work helpful, please consider citing our paper
```bibtex
@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},
} 
```