ocr-trains-dataset / README.md
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metadata
language:
  - en
license: cc-by-nc-nd-4.0
task_categories:
  - image-to-text
  - object-detection
tags:
  - OCR
  - Object Detection
  - train traffic
  - text detection
dataset_info:
  features:
    - name: id
      dtype: int32
    - name: image
      dtype: image
    - name: bboxes
      dtype: string
  splits:
    - name: train
      num_bytes: 3152173
      num_examples: 13
  download_size: 3029413
  dataset_size: 3152173
size_categories:
  - 10K<n<100K

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.

💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on our website to buy the dataset

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.

💴 Buy the Dataset: This is just an example of the data. Leave a request on our website to discuss your requirements, learn about the price and buy the dataset

Leave a request on our website to discuss your requirements, learn about the price and buy the dataset.

Our Team provides high-quality data annotation tailored to your needs

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