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README.md
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- [SeaTurtleID2022](https://www.kaggle.com/datasets/wildlifedatasets/seaturtleid2022): A large database of 438 individual loggerhead turtles spanning 13 years. All photos are underwater.
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- [TurtlesOfSMSRC](https://www.inaturalist.org/projects/turtles-of-smsrc): Emerging database of mostly juvenile green turtles of both underwater photos and photos from rescue centres. Only the latter were chosen to complement the SeaTurtleID2022 database.
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## Usage
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The model can be used as any `ultralytics` model. First, download and load the model.
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- [SeaTurtleID2022](https://www.kaggle.com/datasets/wildlifedatasets/seaturtleid2022): A large database of 438 individual loggerhead turtles spanning 13 years. All photos are underwater.
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- [TurtlesOfSMSRC](https://www.inaturalist.org/projects/turtles-of-smsrc): Emerging database of mostly juvenile green turtles of both underwater photos and photos from rescue centres. Only the latter were chosen to complement the SeaTurtleID2022 database.
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The training procedure is (very briefly) decribed in [this notebook](https://huggingface.co/BVRA/TurtleDetector/blob/main/training/segmentation_prepare.ipynb).
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## Usage
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The model can be used as any `ultralytics` model. First, download and load the model.
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