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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.
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More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets
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