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.
Electric Scooters Tracking - Object Detection dataset
The dataset contains frames extracted from videos with people riding electric scooters. Each frame is accompanied by bounding box that specifically tracks the electric scooter in the image.
💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on TrainingData to buy the dataset
This dataset can be useful for object detection, motion tracking, behavior analysis, autonomous vehicle development and smart city.
Dataset structure
The dataset consists of 3 folders with frames from the video with people riding an electric scooter. Each folder includes:
- images: folder with original frames from the video,
- boxes: visualized data labeling for the images in the previous folder,
- .csv file: file with id and path of each frame in the "images" folder,
- annotations.xml: contains coordinates of the bounding boxes and labels, created for the original frames
Data Format
Each frame from images folder is accompanied by an XML-annotation in the annotations.xml file indicating the coordinates of the bounding boxes for electric scooter tracking. For each point, the x and y coordinates are provided.
Example of the XML-file
Object tracking might be made in accordance with your requirements.
💴 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-pro
keywords: electric scooter gps, e-scooter, e-bike, navigation, vehicle tracking algorithm, vehicle tracking dataset, object detection, multiple-object vehicle tracking, vehicle image dataset, labeled web tracking dataset, image dataset, classification, computer vision, machine learning, cctv, camera detection, surveillance, security camera, security camera object detection, video-based monitoring, smart city, smart city development, smart city vision, smart city deep learning, smart city management
- Downloads last month
- 48