Update README.md

README.md

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 ---
 license: cc-by-nc-nd-4.0
+task_categories:
+- image-classification
+- object-detection
+language:
+- en
+tags:
+- code
 ---
+
+# Miners Detection dataset
+
+The dataset consists of of photos captured within various mines, focusing on **miners** engaged in their work. Each photo is annotated with bounding box detection of the miners, an attribute highlights whether each miner is sitting or standing in the photo.
+
+The dataset's diverse applications such as computer vision, safety assessment and others make it a valuable resource for *researchers, employers, and policymakers in the mining industry*.
+
+![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fdb3f193275f5206914a19b127e20138e%2FFrame%2013.png?generation=1695040375509674&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=miners-detection) to discuss your requirements, learn about the price and buy the dataset.
+
+# Dataset structure
+- **images** - contains of original images of miners
+- **boxes** - includes bounding box labeling for the original images
+-  **annotations.xml** -  contains coordinates of the bounding boxes 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 bounding boxes for miners detection. For each point, the x and y coordinates are provided. The position of the miner is also provided by the attribute **is_sitting** (true, false).
+
+# Example of XML file structure
+![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Febb59bc7d91a28f4e10c3f3da4ce4488%2Fcarbon%20(1).png?generation=1695040600108833&alt=media)
+
+# Miners detection might be made in accordance with your requirements.
+
+## [**TrainingData**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=miners-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-datamarket/TrainingData_All_datasets**