/resolve/main/ ) Figure . Image of < . Model Card for BioCLIP 2.5 Huge BioCLIP 2.5 Huge is a foundation model for biology organismal images. It is trained on TreeOfLife 200M on the basis of a CLIP model (ViT H/14) pre trained on LAION 2B. BioCLIP 2.5 Huge yields state of the art performance in recognizing various species and further improves the performance on broader biological visual tasks. Model Details Model Description BioCLIP 2.5 Huge is trained on an updated version of TreeOfLife 200M that adds 19M more images to the original version (dataset to be updated with new metadata and species embeddings). In addition to the slightly larger training dataset, BioCLIP 2.5 Huge was extended to a ViT H/14 backbone, in comparison with the ViT L/14 backbone adopted by BioCLIP 2. The training was based on an updated version of the BioCLIP 2 repository (v2.0.0), where torchcompile and pure bf16 were used for acceleration. The model achieves new state of the art performance on both species classification and broader biological visual tasks, surpassing BioCLIP 2 by 5.7% and 3.5%, respectively. Especially in FishNet, which requires the model to distinguish different habitats, BioCLIP 2.5 Huge…
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