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 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.
💴 Buy the Dataset: This is just an example of the data. Leave a request on https://trainingdata.pro/datasets 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
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