Weapon Detection Dataset
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| Formato: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866902083212410880 |
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| author | Weapon Detection Dataset |
| author_facet | Weapon Detection Dataset |
| contents | <div> <div> <h2>About Dataset</h2> </div> </div> <div> <div> <p><strong>Context<br></strong>With increasing unrest, security cams should be armed with advance technology. </p> <p><strong>Content<br></strong>This dataset contains <a href="https://gts.ai/dataset-download/weapon-detection-dataset/"><strong>Weapon Detection Dataset</strong></a> disclosure note in pascal VOC format. Each image has its corresponding notes xml file. They are in xmin, ymin, xmax, ymax.<br>Categories has knife,Gun and other weapons etc.</p> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <ol> <li> <p><strong>The Importance of Weapon Detection in Security</strong>: Discussing the significance of accurate weapon detection in add to security measures and avoid potential threats.</p> </li> <li> <p><strong>Data Composition</strong>: Providing insights into the composition of the firearm disclosure data, including the types of fire arms covered, diverse environments, and scenarios depicted.</p> </li> <li> <p><strong>Annotated Data for Enhanced Analysis</strong>: Explaining the importance of annotated data in facilitating object localization, classification tasks, and algorithm training for weapon detection.</p> </li> <li> <p><strong>Quality Assurance and Validation Processes</strong>: Detailing the rigorous quality assurance and validation procedures employed to ensure the accuracy and reliability of the dataset.</p> </li> <li> <p><strong>Applications and Use Cases</strong>: Exploring the various applications and use cases of the firearms disclosure data, including training machine learning models, benchmarking algorithms, and evaluating system performance.</p> </li> <li> <p><strong>Future Directions and Impact</strong>: Discussing the potential impact of the dataset on advancing fire arms disclosure technology, enhancing security protocols, and contributing to safer communities.</p> </li> </ol> <p>This dataset is sourced from Kaggle.</p> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14836389 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Weapon Detection Dataset Weapon Detection Dataset <div> <div> <h2>About Dataset</h2> </div> </div> <div> <div> <p><strong>Context<br></strong>With increasing unrest, security cams should be armed with advance technology. </p> <p><strong>Content<br></strong>This dataset contains <a href="https://gts.ai/dataset-download/weapon-detection-dataset/"><strong>Weapon Detection Dataset</strong></a> disclosure note in pascal VOC format. Each image has its corresponding notes xml file. They are in xmin, ymin, xmax, ymax.<br>Categories has knife,Gun and other weapons etc.</p> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <ol> <li> <p><strong>The Importance of Weapon Detection in Security</strong>: Discussing the significance of accurate weapon detection in add to security measures and avoid potential threats.</p> </li> <li> <p><strong>Data Composition</strong>: Providing insights into the composition of the firearm disclosure data, including the types of fire arms covered, diverse environments, and scenarios depicted.</p> </li> <li> <p><strong>Annotated Data for Enhanced Analysis</strong>: Explaining the importance of annotated data in facilitating object localization, classification tasks, and algorithm training for weapon detection.</p> </li> <li> <p><strong>Quality Assurance and Validation Processes</strong>: Detailing the rigorous quality assurance and validation procedures employed to ensure the accuracy and reliability of the dataset.</p> </li> <li> <p><strong>Applications and Use Cases</strong>: Exploring the various applications and use cases of the firearms disclosure data, including training machine learning models, benchmarking algorithms, and evaluating system performance.</p> </li> <li> <p><strong>Future Directions and Impact</strong>: Discussing the potential impact of the dataset on advancing fire arms disclosure technology, enhancing security protocols, and contributing to safer communities.</p> </li> </ol> <p>This dataset is sourced from Kaggle.</p> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> |
| title | Weapon Detection Dataset |
| url | https://doi.org/10.5281/zenodo.14836389 |