S. L. Pimm, S. Alibhai, R. Bergl, A. Dehgan, C. Giri et al., Emerging technologies to conserve biodiversity, Trends Ecol Evol, vol.30, issue.11, pp.685-696, 2015.

B. G. Weinstein, A computer vision for animal ecology, J Anim Ecol, vol.87, issue.3, pp.533-545, 2018.

A. Swanson, M. Kosmala, C. Lintott, and C. Packer, A generalized approach for producing, quantifying, and validating citizen science data from wildlife images, Conserv Biol, vol.30, issue.3, pp.520-551, 2016.

M. S. Norouzzadeh, A. Nguyen, M. Kosmala, A. Swanson, M. S. Palmer et al., Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning, Proc Natl Acad Sci U S A, vol.115, issue.25, pp.5716-5725, 2018.

M. Willi, R. T. Pitman, A. W. Cardoso, C. Locke, A. Swanson et al., Identifying animal species in camera trap images using deep learning and citizen science, Methods in Ecology and Evolution, vol.10, issue.1, pp.80-91, 2018.

B. G. Weinstein, Scene-specific convolutional neural networks for video-based biodiversity detection, Methods in Ecology and Evolution, vol.9, issue.6, pp.1435-1441, 2018.

A. Loos, C. Weigel, and M. Köhler, Towards automatic detection of animals in camera-trap images, 26th European Signal Processing Conference (EUSIPCO), pp.1805-1809, 2018.

A. V. Etten, Satellite imagery multiscale rapid detection with windowed networks, CoRR, 2018.

J. Redmon and A. Farhadi, Yolov3: An incremental improvement, CoRR, 2018.

J. Redmon, Darknet: Open source neural networks in c, pp.2013-2016

I. Goodfellow, Y. Bengio, and A. Courville, Deep Learning, 2016.

M. Everingham, L. Van-gool, C. K. Williams, J. Winn, and A. Zisserman, The pascal visual object classes (voc) challenge, International Journal of Computer Vision, vol.88, issue.2, pp.303-338, 2010.

J. Redmon and A. Farhadi, YOLO9000: better, faster, stronger, 2016.

J. G. Colonna, J. Gama, and E. F. Nakamura, A comparison of hierarchicalmulti-output recognition approaches for anuran classification, Machine Learning, vol.107, p.21, 2018.

F. Romero-ferrero, M. G. Bergomi, R. C. Hinz, F. J. Heras, and G. G. De-polavieja, idtracker.ai: tracking all individuals in small or large collectives of unmarked animals, Nature Methods, vol.16, issue.2, p.179, 2019.