---
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 & Object 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. 

# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[TrainingData](https://trainingdata.pro/datasets?utm_source=huggingface&utm_medium=cpc&utm_campaign=people-with-guns-segmentation-and-detection)** to buy the dataset

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*.

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F2497edebcdd1b7c4bc5471262bf5bd16%2FFrame%2029.png?generation=1696334547549518&alt=media)

# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets?utm_source=huggingface&utm_medium=cpc&utm_campaign=people-with-guns-segmentation-and-detection)** 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

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F96bbe14c80f4b494f97136f8ffdbaa44%2Fcarbon.png?generation=1696335385101390&alt=media)

# People with Guns Segmentation & Detection might be made in accordance with your requirements.

## **[TrainingData](https://trainingdata.pro/datasets?utm_source=huggingface&utm_medium=cpc&utm_campaign=people-with-guns-segmentation-and-detection)** 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**

*keywords: body segmentation dataset, human segmentation dataset, human body segmentation, people images dataset, biometric data dataset, biometric dataset, object detection, public safety, gun detection dataset, weapon detection, pistols object detection, handgun, pistols in-hand, state firearm database, firearm safety, short guns, annotated gun, cropped gun chip, automatic weapon detection system, annotation, semantic segmentation, computer vision, deep learning, machine learning, image dataset, image classification, human images*