This model was trained by Prakash Palanivelu Rajmohan and Renuka Sharma at
WildObs Australia. The official location of the model files is
the WildObs Hugging Face repository.
These files are copied to this Hugging face repo because of the easy integration with
AddaxAI.
The wildobs_QLD_WetTropics model for Australian Wet Tropics has been trained on ~30k labelled images from 15 classes. We used the Wildlife Observatory of Australia's tagged image repository for the 'Wet Tropics' rainforests (n = 454 camera deployments, 2,184,664 images, 121 species), and refined this to a balanced dataset of the 15 most common species for CV training and testing. We found that fine-tuning SpeciesNet (
https://github.com/google/cameratrapai) delivered the highest performance, often exceeding 95% F1-score. We are in the process of publishing our findings as part of this work.
