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number-plate-recognition

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MRTMD is a comprehensive dataset for evaluating traffic monitoring models. It contains 3733 images with 70,506 annotated objects, mainly vehicles, across various resolutions (4K, 2K, 1080p, 720p, 640p, 360p). It enables performance assessment across different image qualities and includes labels for visible license plates.

  • Updated Sep 3, 2024

This project utilizes machine learning to detect traffic rule violations i.e., helmet detection. It captures video feeds from traffic cameras, processes them to identify violations, and automates fine collection by notifying relevant authorities. The system aims to enhance road safety and streamline traffic management.

  • Updated Jul 23, 2024
  • Python

Advanced ANPR is a system which detect and recognize all the number plates with different sizes, fonts and styles from the video, image or Realtime CCTV footages with higher accuracy and efficiency

  • Updated May 31, 2024
  • Python

EasyOCR is basically Optical Character Reading package that belongs from PyTorch. Using this texts from the images can be extracted easily, documents, texts can be scanned. For License Plate's Number Recognition, it can be applicable easily as it can extract the texts. About License Plate's Number, there are several language's character plates a…

  • Updated May 8, 2024
  • Jupyter Notebook

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