--- 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*. ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F2497edebcdd1b7c4bc5471262bf5bd16%2FFrame%2029.png?generation=1696334547549518&alt=media) # Get the dataset ### This is just an example of the data Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market?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/data-market?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**