Automatic Camera Trap Detection Using MegaDetector and Deep Learning

In this video, I walk through a demo to get up and running with Microsofts MegaDetector. GitHub: https://github.com/aliceheiman/YouTube/tree/main/megadetector Dataset credit: Franceschi, I. C., et al. (2024). Camera trap surveys of Atlantic Forest mammals: A data set for analyses considering imperfect detection (2004–2020). Ecology, 105(5), e4298. https://doi.org/10.1002/ecy.4298 Sources: 2024 Living Planet Report. (2024). World Wildlife Fund from https://www.worldwildlife.org/publications/2024-living-planet-report Beery, S., Morris, D., & Yang, S. (2019). _Efficient Pipeline for Camera Trap Image Review (arXiv:1907.06772). arXiv. https://doi.org/10.48550/arXiv.1907.06772 CameraTraps/megadetector.md at main · microsoft/CameraTraps. (n.d.). Retrieved April 2, 2025, from https://github.com/microsoft/CameraTraps/blob/main/megadetector.md Franceschi, I. C., Dornas, R. A. da P., Lermen, I. S., Coelho, A. V. P., Vilas Boas, A. H., Chiarello, A. G., Paglia, A. P., de Souza, A. C., Borsekowsky, A. R., Rocha, A., Bager, A., de Souza, A. Z., Lopes, A. M. C., de Moura, A. S., Ferreira, A. S., García-Olaechea, A., Delciellos, A. C., Bacellar, A. E. de F., Campelo, A. K. N., … Coelho, I. P. (2024). Camera trap surveys of Atlantic Forest mammals: A data set for analyses considering imperfect detection (2004–2020). Ecology, 105(5), e4298. https://doi.org/10.1002/ecy.4298 Hall, A. (2025, January 19). Scientists discover that largest South America mammal is no longer extinct and has suddenly reappeared 100 yea. Retrieved April 7, 2025, from AS USA website: https://en.as.com/latest_news/scientists-discover-that-largest-south-america-mammal-is-no-longer-extinct-and-has-suddenly-reappeared-100-years-later-n/ Kerry, R. G., Montalbo, F. J. P., Das, R., Patra, S., Mahapatra, G. P., Maurya, G. K., Nayak, V., Jena, A. B., Ukhurebor, K. E., Jena, R. C., Gouda, S., Majhi, S., & Rout, J. R. (2022). An overview of remote monitoring methods in biodiversity conservation. Environmental Science and Pollution Research, 29(53), 80179–80221. https://doi.org/10.1007/s11356-022-23242-y Norouzzadeh, M. S., Nguyen, A., Kosmala, M., Swanson, A., Palmer, M. S., Packer, C., & Clune, J. (2018). Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning. Proceedings of the National Academy of Sciences, 115(25), E5716–E5725. https://doi.org/10.1073/pnas.1719367115 Paviolo, A., De Angelo, C., Ferraz, K. M. P. M. B., Morato, R. G., Martinez Pardo, J., Srbek-Araujo, A. C., … Cruz, P. (2016). A biodiversity hotspot losing its top predator: The challenge of jaguar conservation in the Atlantic Forest of South America. Scientific Reports, 6(1). https://doi.org/10.1038/srep37147 Wearn, O. R., Freeman, R., & Jacoby, D. M. P. (2019). Responsible AI for conservation. Nature Machine Intelligence, 1(2), 72–73. https://doi.org/10.1038/s42256-019-0022-7