evendrow/INQUIRE-Rerank
INQUIRE-Rerank π Website | π Paper | GitHub π― How do we empower scientific discovery in millions of nature photos? INQUIRE is a text-to-image retrieval benchmark designed to challenge multimodal models with expert-level queries about the natural world. This dataset aims to emulate real world image retrieval and analysis problems faced by scientists working with large-scale image collections. Therefore, we hope that INQUIRE will both encourage and track advancements inβ¦ See the full description on the dataset page: https://huggingface.co/datasets/evendrow/INQUIRE-Rerank.
| Author / organization | evendrow |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 432 (as reported by Hugging Face) |
| Likes | 16 |
| Created | 7 June 2024 |
| Last updated at source | 14 December 2024 |
Popularity, last 2 days
432 now. Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: INQUIRE-Rerank π Website | π Paper | GitHub π― How do we empower scientific discovery in millions of nature photos? INQUIRE is a text-to-image retrieval benchmark designed to challenge multimodal models with expert-level queries about the β INQUIRE-Rerank π Website | π Paper | GitHub π― How do we empower scientific discovery in millions of nature photos? INQUIRE is a text-to-image retrieval benchmark designed to challenge multimodal models with expert-level queries about the
Changes detected by Silytics between refreshes of the source.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.