Wildlife-datasets

Latest version: v1.0.3

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1.0.3

New functionality

- Three new datasets were added: [CatIndividualImages](https://www.kaggle.com/datasets/timost1234/cat-individuals) (cats), [CowDataset](https://figshare.com/articles/dataset/data_set_zip/16879780) (cows) and [DogFaceNet](https://github.com/GuillaumeMougeot/DogFaceNet) (dogs).
- The license file is shown upon download.

Other changes

- Added orientation (left, right, ...) to [SeaTurtleID2022](https://www.kaggle.com/datasets/wildlifedatasets/seaturtleid2022).
- Fixed two segmentations in [NDD20](https://doi.org/10.25405/data.ncl.c.4982342) which may have caused problems during loading.
- Metadata including licenses and citations were updated or corrected in some cases.

1.0.2

New functionality

- Three new datasets were added: [MPDD](https://data.mendeley.com/datasets/v5j6m8dzhv/1) (dogs), [PolarBearVidID](https://zenodo.org/records/7564529) (polar bears) and [SeaStarReID2023](https://lila.science/sea-star-re-id-2023/) (sea stars).
- Labels were fixed for Cows2021 and FriesianCattle2015. These classes appear now as Cows2021v2 and FriesianCattle2015v2 to keep backward compability. A full list of changes is in [documentation](https://wildlifedatasets.github.io/wildlife-datasets/preprocessing/).
- Visual overhaul including new logos.

Breaking functionality

- Splits were removed from the dataframes. They may be [added manually](https://wildlifedatasets.github.io/wildlife-datasets/default_splits/).

Other changes

- SeaTurtleID was updated by [SeaTurtleID2022](https://www.kaggle.com/datasets/wildlifedatasets/seaturtleid2022).
- File names of images must contain only ASCII characters. Some files in IPanda50 were renamed while keeping backward compability.
- Some functions were refactored and `plot_grid` was updated.

1.0.0

Initial release

We are happy to introduce the first release of the wildlife-datasets library. Currently, the library can process 31 wildlife re-identification datasets. Its main feature is an interface for downloading and extracting datasets and converting them into a unified format. For full functionality see [documentation](https://wildlifedatasets.github.io/wildlife-datasets/).

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