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license: cc-by-4.0
---
This model was trained by Prakash Palanivelu Rajmohan and Renuka Sharma at [WildObs Australia](https://wildobs.org.au/). The official location of the model files is [the WildObs Hugging Face repository](https://huggingface.co/WildObs/WildObs_QLD_WetTropics).
These files are copied to this Hugging face repo because of the easy integration with [AddaxAI](https://addaxdatascience.com/addaxai).
**Developer**
Prakash Palanivelu Rajmohan and Renuka Sharma
**Owner**
WildObs Australia
**Description**
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.
**Classes**
* Alectura_lathami
* Bos_taurus
* Canis_familiaris
* Casuarius_casuarius
* Felis_catus
* Heteromyias_cinereifrons
* Homo_sapiens
* Hypsiprymnodon_moschatus
* Megapodius_reinwardt
* Orthonyx_spaldingii
* Perameles_nasuta
* Sus_scrofa
* Thylogale_stigmatica
* Uromys_caudimaculatus
* Wallabia_bicolor
**Links**
[Learn more](https://wildobs.org.au/)
[License](https://creativecommons.org/licenses/by-4.0/)
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