Datasetpublic

dbabnigg/botanical-vision-test

Botanical Vision Fine-grained flowering-plant classification dataset: 495 research-grade iNaturalist photos across 5 species (all flowering plants with at least 2,000 observations). Built for Advanced Computer Vision (UChicago ADSP 32023). Splits split images train 345 val 75 test 75 Split is stratified within each species (70/15/15). Exact and cross-species duplicate images were removed before splitting. Fields image — the… See the full description on the dataset page: https://huggingface.co/datasets/dbabnigg/botanical-vision-test.

sourceHugging Facecc-by-nc-4.0updated 3mo agoView on Hugging Face

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Dataset Card

Botanical Vision

Fine-grained flowering-plant classification dataset: 495 research-grade iNaturalist photos across 5 species (all flowering plants with at least 2,000 observations). Built for Advanced Computer Vision (UChicago ADSP 32023).

Splits

split	images
train	345
val	75
test	75

Split is stratified within each species (70/15/15). Exact and cross-species duplicate images were removed before splitting.

Fields

—image — the photo
—label / species — species name (the classification target)
—genus, family, order, class — taxonomy
—species_key — GBIF species key

Source

Species were selected from a GBIF occurrence download (iNaturalist Research-grade Observations, flowering plants with still images); photos were pulled from the iNaturalist API. Individual photos retain their own iNaturalist licenses.

GBIF.org (8 July 2026) GBIF Occurrence Download https://doi.org/10.15468/dl.3hragg

Usage

python

from datasets import load_dataset
ds = load_dataset("dbabnigg/botanical-vision-test")