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@@ -42,7 +42,7 @@ With nearly 214 million images representing 952,257 taxa across the tree of life
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  - **Curated by:** Jianyang Gu, Samuel Stevens, Elizabeth G. Campolongo, Matthew J. Thompson, Net Zhang, Jiaman Wu, Andrei Kopanev, and Alexander E. White
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  - **Homepage:** https://imageomics.github.io/bioclip-2/
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  - **Repository:** [TreeOfLife-toolbox](https://github.com/Imageomics/TreeOfLife-toolbox)
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- - **Paper:** TBA
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  ### Supported Tasks and Leaderboards
@@ -153,7 +153,7 @@ Each image in this dataset is matched to the [7-rank Linnean taxonomy](https://w
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  - `license_link`: URL to the listed license, left null in the case that `license_name` is `No known copyright restrictions`.
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  - `title`: title provided for the image, filled with `not provided` if no title was pro
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- **Darwin-finches.csv:** File for Darwin's finches embedding space evaluation completed in paper. Images are a represenative subset of the 18 species known as "Darwin's Finches" sampled from TreeOfLice-200M for this evaluation. Common names are from [Avibase](https://avibase.bsc-eoc.org/avibase.jsp).
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  - `uuid`: unique identifier for the image in this dataset, links to other TreeOfLife-200M metadata.
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  - `scientific_name`: scientific name of the species.
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  - `filepath`: `<scientific_name>/<uuid>.jpg` the expected filepath to the images when calling them from a directory with the images organized in subfolders determined by the scientific name of the bird in the image.
@@ -224,7 +224,7 @@ We used 11 biologically-relevant datasets for various species classification tes
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  Additional hierarchical structure and embedding space evaluation was done using images of Darwin's Finches sourced from the training data (in `metadata/Darwin-finches.csv`). These species are not evenly represented in the dataset, so 12 of them have 50 images each, but the remaining six species (_Geospiza propinqua_, _Geospiza acutirostris_, _Camarhynchus psittacula_, _Geospiza septentrionalis_, _Camarhynchus pauper_, _Camarhynchus heliobates_) have between 8 and 33 representative images (listed in decreasing order).
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- Other non-species classification tasks were also used for testing, and are described in the [BioCLIP 2](https://huggingface.co/imageomics/bioclip-2) model card and [our paper](TBA).
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  ## Dataset Creation
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@@ -232,7 +232,7 @@ Other non-species classification tasks were also used for testing, and are descr
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  TreeOfLife-200M was curated for the purpose of training a biological foundation model. In particular, we aimed to increase the both the biodiversity of available training data (i.e., from that available in [TreeOfLife-10M](https://huggingface.co/datasets/imageomics/TreeOfLife-10M)) and the raw number of images available (i.e., from that of [BioTrove](https://huggingface.co/datasets/BGLab/BioTrove)). We also performed extensive data curation beyond that used for either of these training datasets: aligning taxonomic labels, removing images of labels or folders associated to specimens, removing noisy citizen science and camera trap images, and ensuring no identifiable humans are in the images (more info below).
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- We have expanded coverage across the 2.14M described species estimated by [The International Union for Conservation of Nature (IUCN)](iucnredlist.org) as of [March 2025](https://nc.iucnredlist.org/redlist/content/attachment_files/2025-1_RL_Table_1a.pdf), with particularly strong representation of threatened species (77.1% of species across threatened categories are represented in TreeOfLife-200M). This coverage and the implications are discussed in greater detail in [our paper](TBA).
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  ### Source Data
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@@ -392,9 +392,10 @@ Please also cite our paper:
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  title = {{B}io{CLIP} 2: Emergent Properties from Scaling Hierarchical Contrastive Learning},
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  author = {Jianyang Gu and Samuel Stevens and Elizabeth G Campolongo and Matthew J Thompson and Net Zhang and Jiaman Wu and Andrei Kopanev and Zheda Mai and Alexander E. White and James Balhoff and Wasila M Dahdul and Daniel Rubenstein and Hilmar Lapp and Tanya Berger-Wolf and Wei-Lun Chao and Yu Su},
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  year = {2025},
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- eprint = {},
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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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  - **Curated by:** Jianyang Gu, Samuel Stevens, Elizabeth G. Campolongo, Matthew J. Thompson, Net Zhang, Jiaman Wu, Andrei Kopanev, and Alexander E. White
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  - **Homepage:** https://imageomics.github.io/bioclip-2/
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  - **Repository:** [TreeOfLife-toolbox](https://github.com/Imageomics/TreeOfLife-toolbox)
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+ - **Paper:** [BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning](https://doi.org/10.48550/arXiv.2505.23883)
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  ### Supported Tasks and Leaderboards
 
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  - `license_link`: URL to the listed license, left null in the case that `license_name` is `No known copyright restrictions`.
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  - `title`: title provided for the image, filled with `not provided` if no title was pro
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+ **Darwin-finches.csv:** File for Darwin's finches embedding space evaluation completed in [paper](https://doi.org/10.48550/arXiv.2505.23883). Images are a represenative subset of the 18 species known as "Darwin's Finches" sampled from TreeOfLice-200M for this evaluation. Common names are from [Avibase](https://avibase.bsc-eoc.org/avibase.jsp).
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  - `uuid`: unique identifier for the image in this dataset, links to other TreeOfLife-200M metadata.
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  - `scientific_name`: scientific name of the species.
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  - `filepath`: `<scientific_name>/<uuid>.jpg` the expected filepath to the images when calling them from a directory with the images organized in subfolders determined by the scientific name of the bird in the image.
 
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  Additional hierarchical structure and embedding space evaluation was done using images of Darwin's Finches sourced from the training data (in `metadata/Darwin-finches.csv`). These species are not evenly represented in the dataset, so 12 of them have 50 images each, but the remaining six species (_Geospiza propinqua_, _Geospiza acutirostris_, _Camarhynchus psittacula_, _Geospiza septentrionalis_, _Camarhynchus pauper_, _Camarhynchus heliobates_) have between 8 and 33 representative images (listed in decreasing order).
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+ Other non-species classification tasks were also used for testing, and are described in the [BioCLIP 2](https://huggingface.co/imageomics/bioclip-2) model card and [our paper](https://doi.org/10.48550/arXiv.2505.23883).
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  ## Dataset Creation
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  TreeOfLife-200M was curated for the purpose of training a biological foundation model. In particular, we aimed to increase the both the biodiversity of available training data (i.e., from that available in [TreeOfLife-10M](https://huggingface.co/datasets/imageomics/TreeOfLife-10M)) and the raw number of images available (i.e., from that of [BioTrove](https://huggingface.co/datasets/BGLab/BioTrove)). We also performed extensive data curation beyond that used for either of these training datasets: aligning taxonomic labels, removing images of labels or folders associated to specimens, removing noisy citizen science and camera trap images, and ensuring no identifiable humans are in the images (more info below).
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+ We have expanded coverage across the 2.14M described species estimated by [The International Union for Conservation of Nature (IUCN)](iucnredlist.org) as of [March 2025](https://nc.iucnredlist.org/redlist/content/attachment_files/2025-1_RL_Table_1a.pdf), with particularly strong representation of threatened species (77.1% of species across threatened categories are represented in TreeOfLife-200M). This coverage and the implications are discussed in greater detail in [our paper](https://doi.org/10.48550/arXiv.2505.23883).
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  ### Source Data
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  title = {{B}io{CLIP} 2: Emergent Properties from Scaling Hierarchical Contrastive Learning},
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  author = {Jianyang Gu and Samuel Stevens and Elizabeth G Campolongo and Matthew J Thompson and Net Zhang and Jiaman Wu and Andrei Kopanev and Zheda Mai and Alexander E. White and James Balhoff and Wasila M Dahdul and Daniel Rubenstein and Hilmar Lapp and Tanya Berger-Wolf and Wei-Lun Chao and Yu Su},
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  year = {2025},
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+ eprint={2505.23883},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV},
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+ url={https://arxiv.org/abs/2505.23883},
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  }
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  ```
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