Update README.md

README.md

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 ---
 license: cc-by-nc-nd-4.0
+task_categories:
+- image-segmentation
+- image-classification
+language:
+- en
+tags:
+- code
 ---
+
+# Cars Tracking
+The collection of overhead video frames, capturing various types of vehicles traversing a roadway. The dataset inculdes light vehicles (cars) and heavy vehicles (minivan).
+
+# Get the Dataset
+This is just an example of the data. If you need access to the entire dataset, contact us via **[sales@trainingdata.pro](mailto:sales@trainingdata.pro)** or leave a request on **[https://trainingdata.pro/data-market](https://trainingdata.pro/data-market?utm_source=huggingface)**
+![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F34e8bc05b43e8452019a5163759a1713%2Fframe_000257.png?generation=1687369547730935&alt=media)
+
+# Data Format 
+Each video frame from `images` folder is paired with an `annotations.xml` file that meticulously defines the tracking of each vehicle using polygons. 
+These annotations not only specify the location and path of each vehicle but also differentiate between the vehicle classes: 
+- cars,
+- minivans.
+
+The data labeling is visualized in the `boxes` folder.
+
+# Example of the XML-file 
+![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F459d6e7b97447fc34be0536edd200a7e%2Fcode.png?generation=1687370800622505&alt=media)
+
+# Object tracking is made in accordance with your requirements.
+
+## **[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface)** 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**