Omkar2118/datasets huggingface dataset:
ILIAS
Full name: ILIAS: Instance-Level Image retrieval At Scale

**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/)  |  [**dataset**](https://vrg.fel.cvut.cz/ilias_data/)  |  [**arxiv**](https://arxiv.org/abs/2502.11748) | [**huggingface**](https://huggingface.co/datasets/vrg-prague/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

Introducing paper: ILIAS: Instance-Level Image retrieval At Scale