In order to corroborate the effectiveness of the proposed model we have carried out experimentation on a dataset of around 500 samples. Experimental results show that the proposed segmentation algorithm achieved best average accuracy in DSM, MOL,MOS and MUS.VEENA M.N...
To the best of our knowledge, we are the first in Myanmar having a dataset of actual license plate images/videos and successfully implemented such an automatic recognition system. 展开 关键词: Automatic License Plate Recognition Myanmar License Plates OpenALPR OpenCV Tesseract-OCR ...
License plate recognition (LPR) is an important component of intelligent transportation systems. Compared with letters and numbers, Chinese characters contain more information, making automatic recognition more difficult. Accurate Chinese LPR (CLPR) is determined by three factors: training dataset, feature...
TRODO: A public vehicle odometers dataset for computer vision In the field of transportation and logistics, smart vision systems have been employed successfully to automate various tasks such as number-plate recogniti... K Mouheb,A Yürekli,B Ylmazel - 《Data in Brief》 被引量: 0发表: 2021...
these vectors, not by attempting to infer the real-world vehicle plate IDs. Consequently, the proposed trajectory dataset does not contain any real-world vehicle identity information. Further, we are under the awareness and approval of the third parties to release the proposed trajectory dataset ...
awesome deep-learning paper dataset awesome-list vehicle vehicle-reid pku-vehicle ve-ri veri776 cvpr-workshop Updated Sep 28, 2022 layumi / AICIty-reID-2020 Star 449 Code Issues Pull requests 🚗 The 1st Place Submission to AICity Challenge 2020 re-id track (Baidu-UTS submission) pyto...
number into a box and click the button, and the decoder will querya commercial vehicle datasetand return details about your machine. However, you should be aware that datasets vary - if the online VIN decoder you happen to choose references a dataset that’s not very comprehensive, you may ...
Automatic number plate recognition (ANPR) data recorded in Beijing has been used to discover companion patterns [198], and Saha et al. [199] used a dataset recorded in New Delhi, India, to validate their proposed vehicle platoon dispersion prediction model. In general, the various kinds of ...
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With this method, the roadside dataset includes the vehicle identification data and the remote data process includes a matching algorithm with the onboard vehicle dataset (for example stored license plate number or onboard device WIFI identification). Instead of replicating the costly nature of ...