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 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

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