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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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