TreeOfLife-200M is a large-scale biological vision dataset released by Ohio State University in 2025. The related paper results are:BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning", designed to train biologically based models. This dataset is currently the largest and most diverse public machine learning-ready dataset for biological computer vision models. The dataset contains nearly 214 million images, covering 952,000 species categories, and integrates images and metadata from four core biodiversity data providers: the Global Biodiversity Information Facility (GBIF), the Encyclopedia of Life (EOL), BIOSCAN-5M, and FathomNet. The dataset also increases the diversity of image context by fully covering museum specimens, camera traps, and citizen science images. Dataset Example

Citation

@dataset{treeoflife_200m,
title = {{T}ree{O}f{L}ife-200{M} (Revision 94bbc0b)},
author = {Jianyang Gu and Samuel Stevens and Elizabeth G Campolongo and Matthew J Thompson and Net Zhang and Jiaman Wu and Andrei Kopanev and Zheda Mai and Alexander E. White and James Balhoff and Wasila M Dahdul and Daniel Rubenstein and Hilmar Lapp and Tanya Berger-Wolf and Wei-Lun Chao and Yu Su},
year = {2026},
url = {https://huggingface.co/datasets/imageomics/TreeOfLife-200M},
doi = {10.57967/hf/8980},
publisher = {Hugging Face}
}