AI-EcoNet/HUGO-Bench

HUGO-Bench Hierarchical Unsupervised Grouping of Organisms Benchmark A comprehensive benchmark dataset for evaluating zero-shot clustering of wildlife camera trap images using Vision Transformer embeddings. Overview HUGO-Bench contains 139,111 expert-validated cropped images of 60 animal species (30 birds, 30 mammals), derived from 23 camera trap projects across LILA BC. The dataset enables benchmarking of Vision Transformer models for unsupervised species-level… See the full description on the dataset page: https://huggingface.co/datasets/AI-EcoNet/HUGO-Bench.

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