Publication2026
An Extensive Evaluation of YOLO, Machine Learning and Deep Learning Models for Automated License Plate Detection
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- National
- Journal
- Proceedings of the 2026 6th International Conference on Image Processing and Capsule Networks Icipcn 2026
- Pages
- 759-765
- Published
- 1 January 2026
- DOI
- 10.1109/icipcn67432.2026.11438753
- Scopus ID
- 105036501354
- Authors
- 6
- Open access
- No
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
11.2 Provide access to safe, affordable, accessible and sustainable transport systems for all
YOLO and deep learning models for license plate detection achieved mAP50 of 0.996, advancing intelligent transportation systems.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Comprehensive evaluation of YOLO, machine learning, and deep learning approaches represents research innovation in traffic monitoring technology.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.4 Infrastructure and connectivity
Automated transportation surveillance technology supports safe cities and intelligent mobility infrastructure.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “An Extensive Evaluation of YOLO, Machine Learning and Deep Learning Models for Automated License Plate Detection”. Kortex.