Smart City Gnosys
Smart city article details
| Title | Cost Effective And Accurate Vehicle Make/Model Recognition Method Using Yolov5 |
|---|---|
| ID_Doc | 16291 |
| Authors | Wang D.; Al-Rubaie A.; Alsarkal Y.I.; Stincic S.; Davies J. |
| Year | 2021 |
| Published | 2021 International Conference on Smart Applications, Communications and Networking, SmartNets 2021 |
| DOI | http://dx.doi.org/10.1109/SmartNets50376.2021.9555409 |
| Abstract | Automatic meta-data extraction from images from highway cameras is a necessary component for intelligent transportation and smart city. Meta-data can include detailed information on vehicles, such as car make/model, car registration plate and drivers' behaviour, etc.. This paper focuses on real-time car make/model information extraction from highway cameras. As we have very limited access to the real world data due to data privacy and protection, we use open-source data (e.g. car selling websites) and transfer learning on open-source pre-trained models to build a model which is generic enough to be applied directly to similar data sets from other sources, (e.g. real-world highway cameras) without losing much accuracy. To achieve this, we propose applying the object detection method 'You Only Look Once' (Yolo) for classification problem of car make/model. The proposed method and trained model achieve an accuracy of 95.6% when applied directly to real-world highway cameras without using their data for training. © 2021 IEEE. |
| Author Keywords | Car make and model recognition (CMMR); Image classification; Object detection; YoloV5 |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
60904  | 0.886 | Shihabudeen H.; Rajeesh J. | Vehicle Detection And Classification Using Yolov5 On Fused Infrared And Visible Images | 6th International Conference on Inventive Computation Technologies, ICICT 2023 - Proceedings (2023) |
| 44409 | 0.873 | Alahdal N.M.; Abukhodair F.; Meftah L.H.; Cherif A. | Real-Time Object Detection In Autonomous Vehicles With Yolo | Procedia Computer Science, 246, C (2024) |
| 765 | 0.872 | Shokri D.; Larouche C.; Homayouni S. | A Comparative Analysis Of Multi-Label Deep Learning Classifiers For Real-Time Vehicle Detection To Support Intelligent Transportation Systems | Smart Cities, 6, 5 (2023) |
| 13518 | 0.863 | Ramakanth Kumar P.; Jambur P.V.; Kumar D. | Cctv Surveillance-Based Vehicle Identification: Query-Driven Search Using Colour, Manufacturer & License Plate | Proceedings of the 3rd International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, IITCEE 2025 (2025) |
| 9209 | 0.859 | Reddy Konala T.; Nammi A.; Sree Tella D. | Analysis Of Live Video Object Detection Using Yolov5 And Yolov7 | 2023 4th International Conference for Emerging Technology, INCET 2023 (2023) |
| 54356 | 0.851 | Padilla Carrasco D.; Rashwan H.A.; Garcia M.A.; Puig D. | T-Yolo: Tiny Vehicle Detection Based On Yolo And Multi-Scale Convolutional Neural Networks | IEEE Access, 11 (2023) |