dbabnigg/botanical-vision-256

Botanical Vision

Fine-grained flowering-plant classification dataset: 407,759 research-grade iNaturalist photos across 4,094 species (all flowering plants with at least 2,000 observations). Built for Advanced Computer Vision (UChicago ADSP 32023).

Images are downscaled so the long edge is at most 256px (a smaller, Colab-friendly build of the full-resolution dataset).

Splits

split	images
train	285,136
val	61,288
test	61,335

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-256")