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balajiRRK
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README.md
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- imageomics/bioclip-2
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datasets:
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- imageomics/TreeOfLife-200M
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---
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This app is modified from the original [BioCLIP Demo](https://huggingface.co/spaces/imageomics/bioclip-demo) to run inference with [BioCLIP 2](https://huggingface.co/imageomics/bioclip-2) and uses [pybioclip](https://github.com/Imageomics/pybioclip).
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Due to space persistent storage limitations, embeddings are fetched from the [TreeOfLife-200M repo](https://huggingface.co/datasets/imageomics/TreeOfLife-200M). The images will be retrieved from an S3 bucket, as with the origin, described below.
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- imageomics/bioclip-2
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datasets:
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- imageomics/TreeOfLife-200M
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description: >-
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This space provides an interactive demo for running BioCLIP-2 inference. Additionally, one can run inference on multiple images using the pybioclip package.
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tags:
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- visualization
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- data
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- samples
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- data-visualization
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- exploration
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- biology
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- vision
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- CV
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- imageomics
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- clip
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- species-classification
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- biological visual task
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- multimodal
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- animals
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- species
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- taxonomy
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- rare species
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- endangered species
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- evolutionary biology
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- knowledge-guided
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- zero-shot-image-classification
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---
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# BioCLIP-2 Demo
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This app is modified from the original [BioCLIP Demo](https://huggingface.co/spaces/imageomics/bioclip-demo) to run inference with [BioCLIP 2](https://huggingface.co/imageomics/bioclip-2) and uses [pybioclip](https://github.com/Imageomics/pybioclip).
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Due to space persistent storage limitations, embeddings are fetched from the [TreeOfLife-200M repo](https://huggingface.co/datasets/imageomics/TreeOfLife-200M). The images will be retrieved from an S3 bucket, as with the origin, described below.
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