Hello Sara, can I also be added please 🤗? thank you !

Hello, can you add me to the pack ? thank you !

All the data is available online, and the code is on GitHub as notebooks to make it easy to use !
👉 github.com/AIMS-Researc...

This study was part of Kukanya Zondo's research project for his Master's in Mathematical Sciences at AIMS South Africa
, where he graduated with distinction— congratulations! 💪

Transfer learning helps study endangered species with deep learning, using data from different species or humans when specific data is scarce. It works across architectures and allows reuse of online available models , usually provided with the data they were trained on.

Thanks to Damien Chevallier and the CNRS team, 6 hawksbill turtles were equipped with onboard cameras, accelerometers, gyroscopes, and pressure sensors—enabling accelerometer signal validation. A first for this species!

Pre-training on data from green turtles or humans boosts accelerometer-based behavior identification for hawksbill turtles. Fine-tuning the model outperforms training solely on hawksbill data.

All the code is available on GitHub => github.com/jeantetloren...

With minimal preprocessing, F1-score of 81.1% and Global accuracy of 97.2%. The 6 behavioral categories identified: Breathing, Feeding, Gliding, Resting, Scratching, and Swimming.