Electric Bicycle and Conventional Bicycle Object Detection Dataset

#Object detection #Two-wheeler classification #Bounding-box localization #Traffic participant recognition #Urban intersection traffic counting #Micromobility lane monitoring #Campus vehicle management #Road traffic surveys #Bicycle parking inspections

5296
4.53GB
piece
CATL
MOBIUSI INC

Updated:2026-11-05

AI Analysis & Value Prop

This dataset contains images of electric bicycles and conventional bicycles with corresponding object-detection annotations, enabling models to distinguish between these two common types of two-wheeled vehicles. Each record includes the class, class ID, annotation information, image path, image ID, and image dimensions and format to support data filtering, loading, and integration into training pipelines. It is suitable for road-scene perception, micromobility counting, intelligent surveillance, and the development and evaluation of object-detection models.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
category	string	The annotated object category, such as electric bicycle or conventional bicycle.
image_id	string	The identifier associated with the image.
annotation	string	The object annotation data associated with the image.
image_path	string	The path used to locate the image file.
category_id	array	The numeric or categorical identifier assigned to the object class.
image_width	number	The width of the image in pixels.
image_format	string	The file format of the image.
image_height	number	The height of the image in pixels.

Compliance Statement

Authorization Type	Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

Which object classes are included?: The dataset focuses on electric bicycles and conventional bicycles. Class labels and class IDs are provided to support recognition and differentiation between the two types of two-wheeled vehicles.

What image and annotation information is provided?: Fields include image ID, image path, image width, image height, image format, class, class ID, and annotation information. Check the available sample or dataset documentation to confirm the specific annotation format and coordinate conventions.

Which model tasks and applications does it support?: The data can support object detection, bounding-box localization, and classification of electric versus conventional bicycles. Potential applications include road-scene perception, micromobility counting, intelligent surveillance, and bicycle parking management.

How can I access the data, and what are the licensing terms?: Refer to the dataset listing or contact the provider for access options, downloadable contents, and license terms. Before use, confirm whether the license covers training, evaluation, commercial deployment, and redistribution.

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Cite this Work

@dataset{Mobiusi2026,
  title={Electric Bicycle and Conventional Bicycle Object Detection Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/62ea4dc180cfa3d8bebfd58ea58c88da},
  urldate={2026-11-03},
  keywords={electric bicycle dataset,bicycle object detection,conventional bicycle recognition,two-wheeler image annotations,traffic object detection data,micromobility detection,road vision dataset,bicycle classification training},
  version={1.0}
}

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