all AI news
SeaTurtleID: A novel long-span dataset highlighting the importance of timestamps in wildlife re-identification
March 1, 2024, 5:47 a.m. | Kostas Papafitsoros, Luk\'a\v{s} Adam, Vojt\v{e}ch \v{C}erm\'ak, Luk\'a\v{s} Picek
cs.CV updates on arXiv.org arxiv.org
Abstract: This paper introduces SeaTurtleID, the first public large-scale, long-span dataset with sea turtle photographs captured in the wild. The dataset is suitable for benchmarking re-identification methods and evaluating several other computer vision tasks. The dataset consists of 7774 high-resolution photographs of 400 unique individuals collected within 12 years in 1081 encounters. Each photograph is accompanied by rich metadata, e.g., identity label, head segmentation mask, and encounter timestamp. The 12-year span of the dataset makes it …
abstract arxiv benchmarking computer computer vision cs.cv dataset highlighting identification importance novel paper photographs public scale tasks type vision wildlife
More from arxiv.org / cs.CV updates on arXiv.org
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
1 day, 16 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Intern Large Language Models Planning (f/m/x)
@ BMW Group | Munich, DE
Data Engineer Analytics
@ Meta | Menlo Park, CA | Remote, US