license: cc-by-nc-nd-4.0
task_categories:
- image-segmentation
- object-detection
language:
- en
tags:
- code
- finance
- legal
People with Guns Segmentation & Detection Dataset
The dataset consists of photos depicting individuals holding guns. It specifically focuses on the segmentation of guns within these images and the detection of people holding guns.
Each image in the dataset presents a different scenario, capturing individuals from various backgrounds, genders, and age groups in different poses while holding guns.
The dataset is an essential resource for the development and evaluation of computer vision models and algorithms in fields related to firearms recognition, security systems, law enforcement, and safety analysis.
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This is just an example of the data
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Dataset structure
- images - contains of original images with people holding guns
- labels - includes visualized labeling created for the original images
- annotations.xml - contains coordinates of the polygons and bounding boxes, created for the original photo
Data Format
Each image from images folder is accompanied by an XML-annotation in the annotations.xml file indicating the coordinates of the bounding boxes and polygons. For each point, the x and y coordinates are provided.
Сlasses:
- person: person, who holds the gun, detected with a bounding box,
- gun: gun, labeled with a polygon
Example of XML file structure
People with Guns Segmentation & Detection might be made in accordance with your requirements.
TrainingData provides high-quality data annotation tailored to your needs
More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets
TrainingData's GitHub: https://github.com/trainingdata-pro