license: cc-by-nc-nd-4.0
task_categories:
- image-segmentation
language:
- en
tags:
- code
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.
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This is just an example of the data
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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