{"url":"/dataset/weapon-detection-dataset","name":"Weapon Detection Dataset","full_name":null,"description_markdown":"About Dataset\r\nContext\r\nWith increasing unrest, security cams should be armed with advance technology. \r\n\r\nContent\r\nThis dataset contains weapon disclosure note in pascal VOC format. Each image has its corresponding notes xml file. They are in xmin, ymin, xmax, ymax.\r\nCategories has knife,Gun and other weapons etc.\r\n\r\nThe Importance of Weapon Detection in Security: Discussing the significance of accurate weapon detection in add to security measures and avoid potential threats.\r\n\r\nData Composition: Providing insights into the composition of the firearm disclosure data, including the types of fire arms covered, diverse environments, and scenarios depicted.\r\n\r\nAnnotated Data for Enhanced Analysis: Explaining the importance of annotated data in facilitating object localization, classification tasks, and algorithm training for weapon detection.\r\n\r\nQuality Assurance and Validation Processes: Detailing the rigorous quality assurance and validation procedures employed to ensure the accuracy and reliability of the dataset.\r\n\r\nApplications and Use Cases: Exploring the various applications and use cases of the firearms disclosure data, including training machine learning models, benchmarking algorithms, and evaluating system performance.\r\n\r\nFuture Directions and Impact: Discussing the potential impact of the dataset on advancing fire arms disclosure technology, enhancing security protocols, and contributing to safer communities.\r\n\r\nThis dataset is sourced from Kaggle.","description_withheld":null,"homepage":"https://gts.ai/dataset-download/weapon-detection-dataset/","introduced_date":"2025-02-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/weaponizing-unicodes-with-deep-learning","title":"Weaponizing Unicodes with Deep Learning -- Identifying Homoglyphs with Weakly Labeled Data","first_author":"Perry Deng","url":null},"license":{"name":"Apache 2.0","url":null},"modalities":[],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Weapon Detection Dataset"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+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."}