task_categories:image-segmentation task_categories:image-classification language:en license:cc-by-nc-nd-4.0 code region:us
The collection of overhead video frames, capturing various types of vehicles
traversing a roadway. The dataset inculdes light vehicles (cars) and
heavy vehicles (minivan).
@InProceedings{huggingface:dataset,
title = {cars-video-object-tracking},
author = {TrainingDataPro},
year = {2023}
}
---
license: cc-by-nc-nd-4.0
task_categories:
- image-segmentation
- image-classification
language:
- en
tags:
- code
dataset_info:
  features:
  - name: image_id
    dtype: int32
  - name: image
    dtype: image
  - name: mask
    dtype: image
  - name: annotations
    dtype: string
  splits:
  - name: train
    num_bytes: 614230158
    num_examples: 100
  download_size: 580108296
  dataset_size: 614230158
---

# 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

Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=cars-video-object-tracking) to discuss your requirements, learn about the price and buy the dataset.

![](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&utm_medium=cpc&utm_campaign=cars-video-object-tracking)** 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**