| --- |
| license: other |
| task_categories: |
| - image-classification |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # multi-species benchmark |
|
|
| Photographs where 2+ species appear in the same frame. Designed to evaluate |
| multi-label species identification and steering capabilities of biological |
| vision-language models. Two sources, unified into one parquet schema. |
|
|
| ## Sources |
|
|
| ### `inat21_multilabel` (299 rows, 147 images) |
| |
| In-distribution: drawn from [iNat21](https://github.com/visipedia/inat_comp/tree/master/2021) |
| validation images that already carry an iNat-supplied primary label. We use |
| [InternVL3-AWQ](https://huggingface.co/OpenGVLab/InternVL3-38B-AWQ) to surface |
| images that also contain a *secondary* species, then |
| [BioCLIP2](https://huggingface.co/imageomics/bioclip-2) to propose |
| zero-shot candidates, then two human reviewers (ariana, dan) to accept/reject |
| and confirm the secondary species. Each accepted image contributes a row for |
| the primary organism (with iNat ground-truth taxonomy) and a row per |
| secondary organism (with reviewer-confirmed taxonomy). |
| |
| ### `lila_camera_trap` (884 rows, 442 images) |
| |
| Out-of-distribution: trail-camera images from |
| [LILA BC](https://lila.science/lila-bc/) where the source labels (image-level, |
| multiple species in the same frame) have been validated by the LILA |
| community. Filtered to image-level multi-species cases with fully species- |
| resolved taxa, humans + domestic animals excluded. |
| |
| ## Schema |
| |
| | field | type | notes | |
| |---|---|---| |
| | `image_id` | str | unique key | |
| | `source_benchmark` | str | `inat21_multilabel` or `lila_camera_trap` | |
| | `source_dataset` | str | finer-grained source label (e.g. `iNat-2021-val`, `Nkhotakota Camera Traps`) | |
| | `source_url` | str | original URL when available (LILA); null for iNat | |
| | `image` | struct (bytes, path) | JPEG bytes inline | |
| | `n_species_in_image` | int32 | count of distinct species in this image | |
| | `species_idx` | int32 | 0 for primary, 1..N for secondaries | |
| | `role` | str | `primary` / `secondary` for iNat21; null for camera trap | |
| | `bbox_px` | list<int32> | pixel coords [x1,y1,x2,y2] of the organism; null for camera trap | |
| | `kingdom` ... `species` | str | 7 taxonomic ranks (iNat convention: capitalized ranks, lowercase species epithet) | |
| | `common_name` | str | when available | |
| | `taxonomy_source` | str | `inat21_ground_truth` / `bioclip_top_k_index_N` / `free_text` / `lila_camera_trap` | |
| | `reviewer` | str | reviewer name for iNat rows; null otherwise | |
|
|
| ## Statistics |
|
|
| ### `inat21` — 299 rows, 147 images |
|
|
| Species-per-image distribution: 2: 144, 3: 2, 5: 1 |
|
|
| Top source datasets: |
| - `iNat-2021-val`: 299 rows |
|
|
| Top species (by row count): |
| - `purpuratus`: 8 rows |
| - `canadensis`: 3 rows |
| - `pluchei`: 3 rows |
| - `muricata`: 3 rows |
| - `vatia`: 3 rows |
| - `herbacea`: 2 rows |
| - `iguana`: 2 rows |
| - `ravilla`: 2 rows |
|
|
| ### `camera_trap` — 884 rows, 442 images |
| |
| Species-per-image distribution: 2: 442 |
| |
| Top source datasets: |
| - `Nkhotakota Camera Traps`: 668 rows |
| - `ENA24`: 158 rows |
| - `Orinoquia Camera Traps`: 44 rows |
| - `Caltech Camera Traps`: 14 rows |
| |
| Top species (by row count): |
| - `sylvaticus`: 235 rows |
| - `cynocephalus`: 233 rows |
| - `floridanus`: 76 rows |
| - `brachyrhynchos`: 68 rows |
| - `strepsiceros`: 41 rows |
| - `grimmia`: 34 rows |
| - `pygerythrus`: 30 rows |
| - `africanus`: 20 rows |
| |
| |
| ## Citation |
| |
| If you use this benchmark, please cite the underlying sources: |
| |
| - iNat21: <https://github.com/visipedia/inat_comp/tree/master/2021> |
| - LILA BC: <https://lila.science/lila-bc/> |
| - InternVL3: <https://huggingface.co/OpenGVLab/InternVL3-38B-AWQ> |
| - BioCLIP2: <https://huggingface.co/imageomics/bioclip-2> |
| |
| ## License |
| |
| iNat21 photos: per-observation licenses (typically CC BY-NC). LILA BC: varies |
| by dataset; see <https://lila.science/datasets/>. Use of this benchmark for |
| *research / evaluation* is intended; review the upstream licenses before any |
| redistribution. |
| |