The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider
removing the
loading script
and relying on
automated data support
(you can use
convert_to_parquet
from the datasets
library). If this is not possible, please
open a discussion
for direct help.
Cars Tracking & Object Detection dataset
The collection of overhead video frames, capturing various types of vehicles traversing a roadway. The dataset inculdes light vehicles (cars) and heavy vehicles (minivan).
๐ด For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on TrainingData to buy the dataset
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
Object tracking is made in accordance with your requirements.
๐ด Buy the Dataset: This is just an example of the data. Leave a request on https://trainingdata.pro/datasets to discuss your requirements, learn about the price and buy the dataset
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
keywords: vehicle tracking algorithm, vehicle tracking dataset, object detection for self driving cars, object detection for autonomous vehicles, multiple-object vehicle tracking, car object detection dataset, vehicle image dataset, car object tracking dataset, multi-object tracking dataset, labeled web tracking dataset, large-scale object tracking dataset
- Downloads last month
- 82