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This PR includes the updated .ckpt file for the livestock detection model, with significant performance improvements after fine-tuning. The model was trained on labelled aerial images of cows from [Dataverse](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/N7GJYU) (2585 training/808 validation), and its performance metrics on the [test set](https://drive.google.com/drive/folders/1jdIxtLFTFgTQiRCezxlMuvbUb1PVhErC?usp=drive_link) (subset of images excluded from training/validation sets) showed substantial gains:

Box Recall: Improved from 0.4405 to 0.9535.
Box Precision: Improved from 0.5826 to 0.8587.
Mean IoU: Improved from 0.3135 to 0.6571.

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