Update README.md

README.md

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 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.
+
+![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F528c5d5de741e46d8754a5a67ff476fc%2FFrame%2024.png?generation=1695968589650484&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=fights-segmentation) 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
+
+![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F538310907b1e8b4c6f07f456331fe091%2Fcarbon.png?generation=1695969032771522&alt=media)
+
+# Fights Segmentation might be made in accordance with your requirements.
+
+## [**TrainingData**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=fights-segmentation) 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**