Task
Zero Shot Image Classification
B
imageomics/bioclip
Zero Shot Image Classification·imageomics· 19.1K· 63
BioCLIP is a foundation model for the tree of life, built using CLIP architecture as a vision model for general organismal biology. It is trained on TreeOfLife-10M, our specially-created dataset covering over 450K taxa--the most biologically diverse ML-ready dataset available to date. Through rigorous benchmarking on a diverse set of fine-grained biological classification tasks, BioCLIP consiste
# pull & run locally
pip install mlforge-sdk && mlforge pull imageomics/bioclip
pip install mlforge-sdk && mlforge pull imageomics/bioclip
Model details
Provider
imageomics
Framework
open_clip
Size
3.9 GB
Downloads
19.1K
Likes
63
Updated
2026-02-26
About imageomics/bioclip
BioCLIP is a foundation model for the tree of life, built using CLIP architecture as a vision model for general organismal biology. It is trained on TreeOfLife-10M, our specially-created dataset covering over 450K taxa--the most biologically diverse ML-ready dataset available to date. Through rigorous benchmarking on a diverse set of fine-grained biological classification tasks, BioCLIP consistently outperformed existing baselines by 16% to 17% absolute. Through intrinsic evaluation, we found that BioCLIP learned a hierarchical representation aligned to the tree of life, which demonstrates its potential for robust generalizability.