Summary
International Workshop on Smart Info-Media Systems in Asia
2022
Session Number:RS2
Session:
Number:RS2-3
A Review on Computer-assisted Image-based Bird Species Identification
Jing Yi Tou,
pp.107-112
Publication Date:2022/9/15
Online ISSN:2188-5079
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Summary:
Birdwatching is a popular hobby around the world. Birders often find identification of species a challenging task that will take many years to master. Computer-assisted bird identification was mainly based on voice recognition methods until recently, as there were more work exploring on the image-based methods, especially using deep learning. This paper reviews the recent progress in image-based bird identification methods as well as their major implemented applications in the market. iNaturalist stands out among the popular tools to assist users in bird identification using deep networks. It might still face certain challenges especially if the input images were not clear enough. The tools were helpful especially for inexperienced birders to narrow down the suspects.