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---
language:
- en
license: cc-by-nc-nd-4.0
task_categories:
- image-to-text
- object-detection
tags:
- code
- biology
dataset_info:
features:
- name: id
dtype: int32
- name: name
dtype: string
- name: image
dtype: image
- name: mask
dtype: image
- name: width
dtype: uint16
- name: height
dtype: uint16
- name: shapes
sequence:
- name: label
dtype:
class_label:
names:
'0': number
- name: type
dtype: string
- name: points
sequence:
sequence: float32
- name: rotation
dtype: float32
- name: attributes
sequence:
- name: name
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 106715580
num_examples: 30
download_size: 105575371
dataset_size: 106715580
---
# OCR Race Numbers Object Detection dataset
The dataset consists of photos of runners, participating in various races. Each photo captures a runner wearing a race number on their attire.
The dataset provides **bounding boxes** annotations indicating the location of the race number in each photo and includes corresponding OCR annotations, where the digit sequences on the race numbers are transcribed.
# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[TrainingData](https://trainingdata.pro/datasets/racing-bib-number-recognition?utm_source=huggingface&utm_medium=cpc&utm_campaign=race-numbers-detection-and-ocr)** to buy the dataset
This dataset combines the domains of sports, computer vision, and OCR technology, providing a valuable resource for advancing the field of race number detection and OCR in the context of athletic events.
![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fa63f4fcae18a968f1f07360659f3d15a%2FFrame%2010%20(1).png?generation=1694175985579731&alt=media)
# Dataset structure
- **images** - contains of original images of athletes
- **boxes** - includes bounding box labeling for the original images
- **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
![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F61251cfa515d37f1fad650419ac22303%2Fcarbon%20(1).png?generation=1694175850461006&alt=media)
# Race Numbers Detection might be made in accordance with your requirements.
# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/racing-bib-number-recognition?utm_source=huggingface&utm_medium=cpc&utm_campaign=race-numbers-detection-and-ocr)** to discuss your requirements, learn about the price and buy the dataset
## **[TrainingData](https://trainingdata.pro/datasets/racing-bib-number-recognition?utm_source=huggingface&utm_medium=cpc&utm_campaign=race-numbers-detection-and-ocr)** 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: bib number detection, bib detector, rbn, running races, marathons, racing bib number recognition, 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, image classification* |