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cs.CV2026

ACCIDENT: A Benchmark Dataset for Vehicle Accident Detection from Traffic Surveillance Videos

Lukas Picek, Michal Čermák, Marek Hanzl +1

We introduce ACCIDENT, a benchmark dataset for traffic accident detection in CCTV footage, designed to evaluate models in supervised (IID and OOD) and zero-shot settings, reflectin…

cs.CV2025

CzechLynx: A Dataset for Individual Identification and Pose Estimation of the Eurasian Lynx

Lukas Picek, Elisa Belotti, Michal Bojda +14

We introduce CzechLynx, the first large-scale, open-access dataset for individual identification, pose estimation, and instance segmentation of the Eurasian lynx (Lynx lynx). Czech…

cs.CV2025

WildlifeReID-10k: Wildlife re-identification dataset with 10k individual animals

Lukáš Adam, Vojtěch Čermák, Kostas Papafitsoros +1

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, re-sam…

cs.CV2024

Zero-shot Hazard Identification in Autonomous Driving: A Case Study on the COOOL Benchmark

Lukas Picek, Vojtěch Čermák, Marek Hanzl

This paper presents our submission to the COOOL competition, a novel benchmark for detecting and classifying out-of-label hazards in autonomous driving. Our approach integrates div…

cs.CV2024

SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification

Lukáš Adam, Vojtěch Čermák, Kostas Papafitsoros +1

This paper introduces the first public large-scale, long-span dataset with sea turtle photographs captured in the wild -- \href{https://www.kaggle.com/datasets/wildlifedatasets/sea…

cs.CV2024

SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification

Lukáš Adam, Vojtěch Čermák, Kostas Papafitsoros +1

This paper introduces the first public large-scale, long-span dataset with sea turtle photographs captured in the wild -- SeaTurtleID2022 (https://www.kaggle.com/datasets/wildlifed…