TrainingDataPro/race-numbers-detection-and-ocr

---
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.

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# 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
.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*

原始信息汇总

OCR Race Numbers Object Detection dataset

数据集概述

该数据集包含参与各种比赛的跑步者的照片，每张照片捕捉到穿着比赛号码的跑步者。数据集提供边界框标注，指示每张照片中比赛号码的位置，并包含相应的OCR标注，其中比赛号码上的数字序列被转录。

数据集结构

• images - 包含运动员的原始图像
• boxes - 包含原始图像的边界框标注
• annotations.xml - 包含原始照片的边界框坐标和指示文本

数据格式

images文件夹中的每张图像都伴随一个annotations.xml文件，指示文本检测的边界框坐标。每个点的x和y坐标都被提供。

数据集信息

• 语言: 英语
• 许可证: cc-by-nc-nd-4.0
• 任务类别: 图像到文本, 目标检测
• 标签: code, biology

特征

• id: 类型为int32
• name: 类型为string
• image: 类型为image
• mask: 类型为image
• width: 类型为uint16
• height: 类型为uint16
• shapes: 序列类型
  • label: 类型为class_label, 名称: number
  • type: 类型为string
  • points: 序列类型, 类型为float32
  • rotation: 类型为float32
  • attributes: 序列类型
    • name: 类型为string
    • text: 类型为string

数据分割

• train: 字节数为106715580, 样本数为30

数据集大小

• 下载大小: 105575371
• 数据集大小: 106715580