Ucf Crime Dataset, The proposed method was tested on the UCF Crime dataset and a custom Road Anomaly Dataset (RAD), and the accuracy of the framework was 89. It contains 1,900 long, untrimmed real This document provides detailed technical information about the UCF-Crime dataset as implemented in the Fed-WSVAD (Federated Weakly Supervised Video Anomaly Discover what actually works in AI. Official Dropbox link for all videos can be found here. To fully utilize this new data modality, a Our UCF-Crime-DVS dataset is aligned with the UCF-Crime dataset, covering 13 classes of anomalies in 1,610 training videos with video-level labels and 290 test videos with frame This document provides detailed technical information about the UCF-Crime dataset as implemented in the Fed-WSVAD (Federated Weakly Supervised Video Anomaly Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced benchmarks, competitions, and hackathons. UCF-Crime (Real-world Anomaly Detection in Surveillance Videos) Surveillance videos are able to capture a variety of realistic anomalies. To fully utilize this new Our UCF-Crime-DVS dataset is aligned with the UCF-Crime dataset, covering 13 classes of anomalies in 1,610 training videos with video-level labels and 290 test videos with frame-level labels. The dataset contains images extracted from every video from the UCF Crime Dataset. It consists of 1,900 continuous unedited surveillance videos, including 13 abnormal behaviors in real . It consists of long untrimmed surveillance videos which cover 13 realworld anomalies, including All videos used for frame extraction were obtained from UCF CRIME OFFICIAL DATASET. It consists of 1900 long and untrimmed real-world surveillance videos, with 13 realistic anomalies including Abuse, To introduce this rich dynamic information into the surveillance field, we created the first DVS video anomaly detection benchmark, namely UCF-Crime-DVS. Yuanbin Qian, Shuhan Ye, Chong Wang, Xiaojie Cai, Jiangbo Qian, Jiafei Wu (2025) UCF-Crime dataset is a new large-scale first of its kind dataset of 128 hours of videos. The UCA dataset is extensive, UCF-Crime 是一个包含 13 种异常行为的监控视频数据集，用于研究和开发异常行为检测技术。 UCF stands for University of Central Florida. Every 10th frame is extracted from each full-length video and combined for every video in that class. UCF-Crime dataset is a new large-scale first of its kind dataset of 128 hours of videos. 90% on the UCF Crime dataset UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks This project uses the following datasets for evaluation: UCF-Crime: A large-scale dataset for real-world surveillance video anomaly detection, containing 1900 long untrimmed videos UCF-Crime Dataset We construct a new large-scale dataset, called UCF-Crime, to evaluate our method. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced benchmarks, competitions, and hackathons. Yuanbin Qian, Shuhan Ye, Chong Wang, Xiaojie Cai, Jiangbo Qian, Jiafei Wu (2025) UCF-Crime Dataset is a novel large-scale pioneering dataset consisting of 128 hours of video footage. This is a large dataset containing 128 hours of video. In this paper, we propose to learn We are excited to introduce the UCA (UCF-Crime Annotation) dataset, meticulously crafted based on the UCF-Crime dataset. We’re on a journey to advance and democratize To introduce this rich dynamic information into the surveillance field, we created the first DVS video anomaly detection benchmark, namely UCF-Crime-DVS. It consists of long untrimmed surveillance videos which UCF-Crime dataset is a new large-scale first of its kind dataset of 128 hours of videos. It consists of 1900 long and untrimmed real-world surveillance videos, with 13 realistic anomalies including Abuse, About Dataset This dataset contains clustered precinct-level data about the 2016 Philippine vice-presidential elections scraped from the official electoral UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks. UCF-Crime Dataset We construct a new large-scale dataset, called UCF-Crime, to evaluate our method.
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