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OCR Trains - Object Detection Dataset

The dataset consists of text data obtained through optical character recognition (OCR) technology, which extracts text from images, in this case, the train number.

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The dataset be used to train machine learning models for extracting and analyzing text from train-related documents or images, to develop algorithms or models for real-time updates, or building intelligent systems related to trains and transportation.

Dataset structure

  • images - contains of original images of trains
  • annotations.xml - contains coordinates of the bounding boxes and indicated text, created for the original photo

Data Format

Each image from images folder is accompanied by an XML-annotation in the annotations.xml file indicating the coordinates of the bounding boxes for text detection. For each point, the x and y coordinates are provided.

Example of XML file structure

Text Detection in Trains' images might be made in accordance with your requirements.

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keywords: railways dataset, global railways, train traffic, rail network, rail transport, transportation, railroad, ocr annotations dataset, text detection, text recognition, optical character recognition, computer vision dataset, image dataset, image-to-text dataset, detecting text-lines, object detection, deep-text-recognition, text area detection, text extraction, images dataset, image-to-text

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