{"url":"/dataset/real-life-violence-situations-dataset","name":"Real Life Violence Situations Dataset","full_name":null,"description_markdown":"This dataset has the following citation: M. Soliman, M. Kamal, M. Nashed, Y. Mostafa, B. Chawky, D. Khattab, “ Violence Recognition from Videos using Deep Learning Techniques”, Proc. 9th International Conference on Intelligent Computing and Information Systems (ICICIS'19), Cairo, pp. 79-84, 2019. please use it in case of using the dataset in research or engineering purpose )\r\nwhen we start our Graduation Project Violence Recognition from Videos we found that there is shortage in available datasets related to violence between individuals so we decide to create new big dataset with variety of scenes\r\n\r\nContent\r\nOur Dataset Contains 1000 Violence and 1000 non-violence videos collected from youtube videos, violence videos in our dataset contain many real street fights situations in several environments and conditions.\r\nalso non-violence videos from our dataset are collected from many different human actions like sports, eating, walking …etc.","description_withheld":null,"homepage":"https://www.kaggle.com/mohamedmustafa/real-life-violence-situations-dataset","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Action Recognition","url":"/task/action-recognition-in-videos","datasets_with_task":"/datasets/task/action-recognition-in-videos"},{"name":"Action Detection","url":"/task/action-detection","datasets_with_task":"/datasets/task/action-detection"},{"name":"Video Understanding","url":"/task/video-understanding","datasets_with_task":"/datasets/task/video-understanding"}],"languages":[],"variants":["Real Life Violence Situations Dataset"],"data_loaders":[],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/action-recognition-on-real-life-violence","task":"Action Recognition","dataset_variant":"Real Life Violence Situations Dataset","rows":3,"metrics":["accuracy"],"first_row_in_archive_order":{"model":"DeVTr","paper":"/paper/data-efficient-video-transformer-for-violence","metrics":{"accuracy":"96.25%"},"code_links":[{"title":"mamonraab/Data-efficient-video-transformer","url":"https://github.com/mamonraab/Data-efficient-video-transformer"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/data-efficient-video-transformer-for-violence","title":"Data Efficient Video Transformer for Violence Detection","date":"2021-07-17","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/a-temporal-fusion-approach-for-video","title":"A Temporal Fusion Approach for Video Classification with Convolutional and LSTM Neural Networks Applied to Violence Detection","date":"2021-02-20","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/violence-recognition-from-videos-using-deep","title":"Violence Recognition from Videos using Deep Learning Techniques","date":"2019-12-10","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}