WildlifeReID-10k: Wildlife Re-Identification Dataset with 10k Individual Animals
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F25%3A43976617" target="_blank" >RIV/49777513:23220/25:43976617 - isvavai.cz</a>
Alternative codes found
RIV/49777513:23520/25:43976617
Result on the web
<a href="https://ieeexplore.ieee.org/document/11147894" target="_blank" >https://ieeexplore.ieee.org/document/11147894</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CVPRW67362.2025.00197" target="_blank" >10.1109/CVPRW67362.2025.00197</a>
Alternative languages
Result language
angličtina
Original language name
WildlifeReID-10k: Wildlife Re-Identification Dataset with 10k Individual Animals
Original language description
This paper introduces WildlifeReID-10k, a new large-scale re-identification benchmark with more than 10k animal identities of around 33 species across more than 140k images, resampled from 37 existing datasets. WildlifeReID-10k covers diverse animal species and poses significant challenges for SoTA methods, ensuring fair and robust evaluation through its time-aware and similarity-aware split protocol. The latter is designed to address the common issue of training-to-test data leakage caused by visually similar images appearing in both training and test sets. The WildlifeReID-10k dataset and benchmark are publicly available on Kaggle, along with strong baselines for both closed-set and open-set evaluation, enabling fair, transparent, and standardized evaluation of not just multi-species animal re-identification models.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
ISBN
979-8-3315-9994-2
ISSN
2160-7508
e-ISSN
2160-7516
Number of pages
11
Pages from-to
2090-2100
Publisher name
IEEE Computer Society
Place of publication
Nashville
Event location
Nashville
Event date
Jun 11, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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