README.md

metadata

language:
  - en
license: cc-by-nc-nd-4.0
task_categories:
  - image-segmentation
tags:
  - code
dataset_info:
  - config_name: video_01
    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': referee
                  '1': background
                  '2': wrestling
                  '3': human
          - 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: 45562
        num_examples: 10
    download_size: 16130822
    dataset_size: 45562
  - config_name: video_02
    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': referee
                  '1': background
                  '2': wrestling
                  '3': human
          - 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: 61428
        num_examples: 10
    download_size: 14339242
    dataset_size: 61428
  - config_name: video_03
    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': referee
                  '1': background
                  '2': wrestling
                  '3': human
          - 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: 47138
        num_examples: 10
    download_size: 15264632
    dataset_size: 47138

Fights Segmentation Dataset

The dataset consists of a collection of photos extracted from videos of fights. It includes segmentation masks for fighters, referees, mats, and the background.

The dataset offers a resource for object detection, instance segmentation, action recognition, or pose estimation.
It could be useful for sport community in identification and detection of the violations, dispute resolution and general optimisation of referee's work using computer vision.

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 extracted from the videos of fights
• masks - includes segmentation masks created for the original images
• annotations.xml - contains coordinates of the polygons and labels, 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 polygons and labels. For each point, the x and y coordinates are provided.

Сlasses:

• human: fighter or fighters,
• referee: referee,
• wrestling: mat's area,
• background: area above the mat

Example of XML file structure

Fights Segmentation 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-datamarket/TrainingData_All_datasets