An active learning model to classify animal species in Hong Kong

arXiv:2403.15675v1 Announce Type: new
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 …

abstract active learning advances animals arxiv computer computer vision cs.cv deep learning hong kong images kong process species type vision