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arXiv · 2403.15675

An active learning model to classify animal species in Hong Kong

Gareth Lamb·Ching Hei Lo·Jin Wu·Calvin K. F. Lee
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Abstract

Camera traps are used by ecologists globally as an efficient and non-invasive method to monitor animals. While it is time-consuming to manually label the collected images, recent advances in deep learning and computer vision has made it possible to automating this process [1]. A major obstacle to this is the generalisability of these models when applying these images to independently collected data from other parts of the world [2]. Here, we use a deep active learning workflow [3], and train a model that is applicable to camera trap images collected in Hong Kong.

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Gareth Lamb, Ching Hei Lo, Jin Wu, Calvin K. F. Lee. 2024-03-23. An active learning model to classify animal species in Hong Kong. https://arxiv.org/abs/2403.15675

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