Model: imageomics/biocap
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, plants, fungi, species, taxonomy, rare species, endangered species, evolutionary biology, knowledge-guided, zero-shot-image-classification, zero-shot-text-retrieval, en, dataset:imageomics/TreeOfLife-10M-Captions, dataset:imageomics/TreeOfLife-10M, dataset:iNat21, dataset:BIOSCAN-1M, dataset:EOL, arxiv:2510.20095, doi:10.57967/hf/6799, license:mit, region:us
Card metadata: license: mit
language: en
library_name: open_clip
model_name: BioCAP
model_description: Foundation model for biology organismal images. It is trained on TreeOfLife-10M with synthetic captions (TreeOfLife-10M-Captions) as supervision on the basis of a CLIP model (ViT-B/16) pre-trained by openai. BioCAP achieves state-of-the-art performance on text-image retrieval tasks.
tags: biology, CV, images, imageomics, clip, species-classification, biological visual task, multimodal, animals, plants, fungi, species, taxonomy, rare species, endangered species, evolutionary biology, knowledge-guided, zero-shot-image-classification, zero-shot-text-retrieval
datasets: imageomics/TreeOfLife-10M-Captions, imageomics/TreeOfLife-10M, iNat21, BIOSCAN-1M, EOL
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Created: 2025-10-08 06:47:52