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metadata
language:
  - en
license: cc-by-nc-nd-4.0
task_categories:
  - image-segmentation
  - object-detection
tags:
  - code
  - finance
  - legal
dataset_info:
  config_name: people-with-guns-segmentation-and-detection
  features:
    - name: id
      dtype: int32
    - name: name
      dtype: string
    - name: image
      dtype: image
    - name: mask
      dtype: image
    - name: width
      dtype: uint16
    - name: height
      dtype: uint16
    - name: shapes
      sequence:
        - name: label
          dtype:
            class_label:
              names:
                '0': person
                '1': gun
        - name: type
          dtype: string
        - name: points
          sequence:
            sequence: float32
        - name: rotation
          dtype: float32
        - name: occluded
          dtype: uint8
        - name: z_order
          dtype: int16
        - name: attributes
          sequence:
            - name: name
              dtype: string
            - name: text
              dtype: string
  splits:
    - name: train
      num_bytes: 42149
      num_examples: 11
  download_size: 69561417
  dataset_size: 42149

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.

Get the dataset

This is just an example of the data

Leave a request on https://trainingdata.pro/data-market to discuss your requirements, learn about the price and buy the dataset.

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