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@@ -24,20 +24,16 @@ dataset_info:
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  dataset_size: 3152173
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- # OCR Trains Dataset
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  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.
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  ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F6f666e7539bfbca9f54f2226631bddda%2FMacBook%20Air%20-%201%20(1).png?generation=1691732664604021&alt=media)
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- # Get the dataset
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-
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- ### This is just an example of the data
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- Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market/train-numbers?utm_source=huggingface&utm_medium=cpc&utm_campaign=ocr-trains-dataset) to discuss your requirements, learn about the price and buy the dataset.
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  # Dataset structure
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  - **images** - contains of original images of trains
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  - **annotations.xml** - contains coordinates of the bounding boxes and indicated text, created for the original photo
@@ -51,8 +47,12 @@ Each image from `images` folder is accompanied by an XML-annotation in the `anno
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  # Text Detection in Trains' images might be made in accordance with your requirements.
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- ## [**TrainingData**](https://trainingdata.pro/data-market/train-numbers?utm_source=huggingface&utm_medium=cpc&utm_campaign=ocr-trains-dataset) provides high-quality data annotation tailored to your needs
 
 
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  More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
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- TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
 
 
 
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  dataset_size: 3152173
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  ---
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+ # OCR Trains - Object Detection Dataset
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  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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+ # 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[TrainingData](https://trainingdata.pro/datasets/train-numbers?utm_source=huggingface&utm_medium=cpc&utm_campaign=ocr-trains-dataset)** to buy the dataset
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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.
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  ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F6f666e7539bfbca9f54f2226631bddda%2FMacBook%20Air%20-%201%20(1).png?generation=1691732664604021&alt=media)
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  # Dataset structure
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  - **images** - contains of original images of trains
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  - **annotations.xml** - contains coordinates of the bounding boxes and indicated text, created for the original photo
 
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  # Text Detection in Trains' images might be made in accordance with your requirements.
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+ # 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/train-numbers?utm_source=huggingface&utm_medium=cpc&utm_campaign=ocr-trains-dataset)** to discuss your requirements, learn about the price and buy the dataset
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+
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+ ## **[TrainingData](https://trainingdata.pro/datasets/train-numbers?utm_source=huggingface&utm_medium=cpc&utm_campaign=ocr-trains-dataset)** provides high-quality data annotation tailored to your needs
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  More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
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+ TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
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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*