Detection Dataset
2970
Total images with manually labeled bounding boxes.
Overview
Existing datasets do not capture the diversity of vehicle types and non-lane-disciplined traffic conditions in Sri Lanka. SL-LPR addresses this gap with carefully collected and annotated real-world traffic data.
- Multiple vehicle types: cars, buses, trucks, motorbikes, three-wheelers
- Multi-lane scenes with varying traffic densities
- Daytime and low-light (dusk) conditions
Dataset Highlights
Recognition Dataset
3412
License plates standardized to the CAA 0923 8-character format.
Recognition Quality
Duplicate filtering applied (max 3 per plate with varying clarity) and unreadable images removed.
Sample Data
Examples from the dataset are shown below.
Team
The SL-LPR dataset was developed by the project team with academic supervision and industry support.
Research Applications
- License Plate Detection (LPD)
- License Plate Recognition (LPR)
- Intelligent Transportation Systems (ITS)
Associated Paper
Title: An Embedded Real-Time License Plate Recognition System for Complex Traffic Scenes
Accepted at: IEEE Intelligent Transportation Systems Society Conference (ITSC 2026), Naples, Italy
Project explanation: Watch on YouTube
Paper link: Will be added soon
Citation: Will be added soon
How to Request Access
Click the request form, complete all fields, and tick the agreement checkbox before submitting.
Email: manimohan517@gmail.com
User agreement: Read agreement page
Request form: Open dataset access form
Prefer using a university/institution email. Typical response time is 3-7 working days.
Usage Policy
- Dataset is for research purposes only.
- No redistribution allowed.
- No commercial use.
- Must cite the paper once available.
Updates
| Date | Update |
|---|---|
| 2026 | Initial release |
| Upcoming | Paper and citation details |