Zero-Shot Image Classification
OpenCLIP
English
clip
biology
CV
images
animals
species
taxonomy
rare species
endangered species
evolutionary biology
multimodal
knowledge-guided
Instructions to use imageomics/bioclip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use imageomics/bioclip with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:imageomics/bioclip') tokenizer = open_clip.get_tokenizer('hf-hub:imageomics/bioclip') - Notebooks
- Google Colab
- Kaggle
Update Citations in README.md
Browse files- I update the citation key.
- I improve the uppercase and lowercase in title.
- I update the year.
- I add booktitle.
- The page number is missing since CVPR has not published it.
README.md
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@@ -247,13 +247,11 @@ In short, BioCLIP forms representations that more closely align to the taxonomic
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Please also cite our paper:
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```
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@
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title = {
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author = {Samuel Stevens and Jiaman Wu and Matthew J Thompson and Elizabeth G Campolongo and Chan Hee Song and David Edward Carlyn and Li Dong and Wasila M Dahdul and Charles Stewart and Tanya Berger-Wolf and Wei-Lun Chao and Yu Su},
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archivePrefix = {arXiv},
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primaryClass = {cs.CV}
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}
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```
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Please also cite our paper:
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```
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@inproceedings{stevens2024bioclip,
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title = {{B}io{CLIP}: A Vision Foundation Model for the Tree of Life},
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author = {Samuel Stevens and Jiaman Wu and Matthew J Thompson and Elizabeth G Campolongo and Chan Hee Song and David Edward Carlyn and Li Dong and Wasila M Dahdul and Charles Stewart and Tanya Berger-Wolf and Wei-Lun Chao and Yu Su},
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booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
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year = {2024}
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}
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```
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