# Hyperspectral Image Dataset for Individual Penguin Identification

arXiv: https://arxiv.org/abs/2405.14146 · HTML: https://mlsanity.com/paper/2405.14146/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 14 references that are in the map.
- First posted on arXiv 23 May 2024.

## Builds on (most cited first, 1 of 1)

- [Giant Panda Face Recognition Using Small Dataset](https://mlsanity.com/paper/1905.11163/) (2019)

## Abstract (arXiv)

Remote individual animal identification is important for food safety, sport, and animal conservation. Numerous existing remote individual animal identification studies have focused on RGB images. In this paper, we tackle individual penguin identification using hyperspectral (HS) images. To the best of our knowledge, it is the first work to analyze spectral differences between penguin individuals using an HS camera. We have constructed a novel penguin HS image dataset, including 990 hyperspectral images of 27 penguins. We experimentally demonstrate that the spectral information of HS image pixels can be used for individual penguin identification. The experimental results show the effectiveness of using HS images for individual penguin identification. The dataset and source code are available here: https://033labcodes.github.io/igrass24_penguin/