Hugging Face model: imageomics/bioclip-hc-euclidean
Author: imageomics
Created: 2026-05-21 22:50:22
Last modified: 2026-05-21 23:54:41
Pipeline: zero-shot-image-classification
Library: open_clip
Likes: 2 | Downloads: 71
Tags: open_clip, safetensors, biology, computer-vision, CV, clip, imageomics, images, zero-shot-image-classification, taxonomy, hierarchical-classification, pytorch, animals, plants, fungi, evolutionary biology, knowledge-guided, en, dataset:imageomics/TreeOfLife-10M, license:mit, region:us
Card metadata:
license: mit
language: en
library_name: open_clip
tags: biology, computer-vision, CV, clip, imageomics, images, zero-shot-image-classification, taxonomy, hierarchical-classification, pytorch, animals, plants, fungi, evolutionary biology, knowledge-guided
datasets: imageomics/TreeOfLife-10M
metrics: per-level accuracy, first-misclassification depth counts, normalized Lowest Common Ancestor (`nLCA`) for top-down evaluation
model_description: BioCLIP-HC-Euclidean is a hierarchical CLIP model trained on the TreeOfLife-10M dataset for fine-grained biological image understanding in Euclidean space. It extends BioCLIP with level-restricted contrastive learning, producing embeddings that better preserve the taxonomic hierarchy across ranks (from kingdom to species). BioCLIP-Hier supports taxonomy-aware zero-shot classification of animals, plants, and fungi, and achieves improved separation among sibling taxa compared to BioCLIP and other baselines.