---
license: cc-by-nc-4.0
task_categories:
- image-classification
tags:
- plants
- flowers
- inaturalist
- fine-grained
---

# 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).

## 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

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