SealID: Saimaa ringed seal re-identification dataset
Ekaterina Nepovinnykh, Tuomas Eerola, Vincent Biard, Piia Mutka, Marja, Niemi, Heikki K\"alvi\"ainen, Mervi Kunnasranta

TL;DR
The paper introduces the SealID dataset for re-identification of Saimaa ringed seals, addressing challenges posed by their variable poses and appearance, and provides baseline evaluations to facilitate future research.
Contribution
It presents a new publicly available dataset for Saimaa ringed seal re-identification and proposes an evaluation protocol for assessing re-identification methods.
Findings
SealID dataset contains 57 images of individual seals.
Baseline methods HotSpotter and NORPPA evaluated on SealID.
Dataset serves as a benchmark for future re-identification research.
Abstract
Wildlife camera traps and crowd-sourced image material provide novel possibilities to monitor endangered animal species. However, massive image volumes that these methods produce are overwhelming for researchers to go through manually which calls for automatic systems to perform the analysis. The analysis task that has gained the most attention is the re-identification of individuals, as it allows, for example, to study animal migration or to estimate the population size. The Saimaa ringed seal (Pusa hispida saimensis) is an endangered subspecies only found in the Lake Saimaa, Finland, and is one of the few existing freshwater seal species. Ringed seals have permanent pelage patterns that are unique to each individual which can be used for the identification of individuals. Large variation in poses further exacerbated by the deformable nature of seals together with varying appearance…
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Taxonomy
TopicsIdentification and Quantification in Food · Marine animal studies overview · Advanced Image and Video Retrieval Techniques
