Model: imageomics/bioclip-2
Author: imageomics
Pipeline: zero-shot-image-classification
Library: open_clip
Tags: open_clip, safetensors, biology, CV, images, imageomics, clip, species-classification, biological visual task, multimodal, animals, species, taxonomy, rare species, endangered species, evolutionary biology, knowledge-guided, zero-shot-image-classification, en, dataset:imageomics/TreeOfLife-200M, dataset:GBIF, dataset:bioscan-ml/BIOSCAN-5M, dataset:EOL, dataset:FathomNet, arxiv:2505.23883, doi:10.57967/hf/5765, license:mit, region:us
Card metadata: license: mit
language: en
library_name: open_clip
model_name: BioCLIP 2
model_description: Foundation model for biology organismal images. It is trained on TreeOfLife-200M on the basis of a CLIP model (ViT-14/L) pre-trained on LAION-2B. BioCLIP 2 yields state-of-the-art performance in recognizing various species. More importantly, it demonstrates emergent properties beyond species classification after extensive hierarchical contrastive training.
tags: biology, CV, images, imageomics, clip, species-classification, biological visual task, multimodal, animals, species, taxonomy, rare species, endangered species, evolutionary biology, knowledge-guided, zero-shot-image-classification
datasets: imageomics/TreeOfLife-200M, GBIF, bioscan-ml/BIOSCAN-5M, EOL, FathomNet
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Created: 2025-05-27 22:31:15