Electric Bicycle and Conventional Bicycle Object Detection Dataset
- Records
- 5296
- Size
- 4.53GB
- Format
- piece
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
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.
Overview
Dataset Insights
Preview
Sample Examples
8d0d6678**.jpg||0 B
Schema
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. |
Trust
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
FAQ
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.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
High-quality data, ready for your next AI breakthrough.
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?dataset_scene_cate_type=6},
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}
}Using this in research? Please cite us.