Datasets:

dcher95
/

multi-species-benchmark

image_id stringlengths 12 92	source_benchmark stringclasses 2 values	source_dataset stringclasses 5 values	source_url stringlengths 73 142 ⌀	image dict	n_species_in_image int32 2 5	species_idx int32 0 4	role stringclasses 2 values	bbox_px listlengths 4 4 ⌀	kingdom stringclasses 3 values	phylum stringclasses 13 values	class stringclasses 30 values	order stringclasses 94 values	family stringclasses 183 values	genus stringlengths 4 18 ⌀	species stringlengths 4 16 ⌀	common_name stringlengths 4 53 ⌀	taxonomy_source stringclasses 13 values	reviewer stringclasses 2 values
ENA24 : 2094	lila_camera_trap	ENA24	https://storage.googleap…/images/2094.jpg	{ "bytes": [ 255, 216, 255, 224, 0, 16, 74, 70, 73, 70, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 255, 219, 0, 67, 0, 3, 2, 2, 3, 2, 2, 3, 3, 3, 3, 4, 3, 3, 4, 5, 8, ...	2	0	null	null	Animalia	Chordata	Mammalia	Didelphimorphia	Didelphidae	Didelphis	virginiana	null	lila_camera_trap	null
ENA24 : 2094	lila_camera_trap	ENA24	https://storage.googleap…/images/2094.jpg	{ "bytes": [ 255, 216, 255, 224, 0, 16, 74, 70, 73, 70, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 255, 219, 0, 67, 0, 3, 2, 2, 3, 2, 2, 3, 3, 3, 3, 4, 3, 3, 4, 5, 8, ...	2	1	null	null	Animalia	Chordata	Mammalia	Lagomorpha	Leporidae	Sylvilagus	floridanus	null	lila_camera_trap	null
ENA24 : 2092	lila_camera_trap	ENA24	https://storage.googleap…/images/2092.jpg	{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDg(...TRUNCATED)	2	0	null	null	Animalia	Chordata	Mammalia	Didelphimorphia	Didelphidae	Didelphis	virginiana	null	lila_camera_trap	null
ENA24 : 2092	lila_camera_trap	ENA24	https://storage.googleap…/images/2092.jpg	{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDg(...TRUNCATED)	2	1	null	null	Animalia	Chordata	Mammalia	Lagomorpha	Leporidae	Sylvilagus	floridanus	null	lila_camera_trap	null
ENA24 : 2093	lila_camera_trap	ENA24	https://storage.googleap…/images/2093.jpg	{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDg(...TRUNCATED)	2	0	null	null	Animalia	Chordata	Mammalia	Didelphimorphia	Didelphidae	Didelphis	virginiana	null	lila_camera_trap	null
ENA24 : 2093	lila_camera_trap	ENA24	https://storage.googleap…/images/2093.jpg	{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDg(...TRUNCATED)	2	1	null	null	Animalia	Chordata	Mammalia	Lagomorpha	Leporidae	Sylvilagus	floridanus	null	lila_camera_trap	null
Caltech Camera Traps : 59a7bb76-23d2-11e8-a6a3-ec086b02610b	lila_camera_trap	Caltech Camera Traps	https://storage.googleap…ec086b02610b.jpg	{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDg(...TRUNCATED)	2	0	null	null	Animalia	Chordata	Mammalia	Carnivora	Canidae	Canis	latrans	null	lila_camera_trap	null
Caltech Camera Traps : 59a7bb76-23d2-11e8-a6a3-ec086b02610b	lila_camera_trap	Caltech Camera Traps	https://storage.googleap…ec086b02610b.jpg	{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDg(...TRUNCATED)	2	1	null	null	Animalia	Chordata	Mammalia	Carnivora	Mustelidae	Taxidea	taxus	null	lila_camera_trap	null
Caltech Camera Traps : 59a49aa6-23d2-11e8-a6a3-ec086b02610b	lila_camera_trap	Caltech Camera Traps	https://storage.googleap…ec086b02610b.jpg	{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDg(...TRUNCATED)	2	0	null	null	Animalia	Chordata	Mammalia	Carnivora	Canidae	Canis	latrans	null	lila_camera_trap	null
Caltech Camera Traps : 59a49aa6-23d2-11e8-a6a3-ec086b02610b	lila_camera_trap	Caltech Camera Traps	https://storage.googleap…ec086b02610b.jpg	{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDg(...TRUNCATED)	2	1	null	null	Animalia	Chordata	Mammalia	Carnivora	Mustelidae	Taxidea	taxus	null	lila_camera_trap	null

End of preview. Expand in Data Studio

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 validation images that already carry an iNat-supplied primary label. We use InternVL3-AWQ to surface images that also contain a secondary species, then BioCLIP2 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 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.