language:
- en
license: cc-by-nc-nd-4.0
task_categories:
- image-to-text
- object-detection
tags:
- code
- finance
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
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.
π΄ For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on TrainingData 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.
π΄ Buy the Dataset: This is just an example of the data. Leave a request on https://trainingdata.pro/datasets to discuss your requirements, learn about the price and buy the dataset
TrainingData provides high-quality data annotation tailored to your needs
More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets
TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets
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