Update README.md
Browse files
README.md
CHANGED
|
@@ -6,8 +6,11 @@ task_categories:
|
|
| 6 |
- image-to-text
|
| 7 |
- object-detection
|
| 8 |
tags:
|
| 9 |
-
-
|
| 10 |
-
-
|
|
|
|
|
|
|
|
|
|
| 11 |
dataset_info:
|
| 12 |
features:
|
| 13 |
- name: id
|
|
@@ -55,7 +58,7 @@ The dataset consists of photos of runners, participating in various races. Each
|
|
| 55 |
|
| 56 |
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.
|
| 57 |
|
| 58 |
-
# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[
|
| 59 |
|
| 60 |
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.
|
| 61 |
|
|
@@ -75,12 +78,10 @@ Each image from `images` folder is accompanied by an XML-annotation in the `anno
|
|
| 75 |
|
| 76 |
# Race Numbers Detection might be made in accordance with your requirements.
|
| 77 |
|
| 78 |
-
# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[
|
| 79 |
|
| 80 |
-
|
| 81 |
|
| 82 |
-
|
| 83 |
-
|
| 84 |
-
TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
|
| 85 |
|
| 86 |
*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*
|
|
|
|
| 6 |
- image-to-text
|
| 7 |
- object-detection
|
| 8 |
tags:
|
| 9 |
+
- OCR
|
| 10 |
+
- bib number detection
|
| 11 |
+
- running races
|
| 12 |
+
- bib detector
|
| 13 |
+
- racing bib number recognition
|
| 14 |
dataset_info:
|
| 15 |
features:
|
| 16 |
- name: id
|
|
|
|
| 58 |
|
| 59 |
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.
|
| 60 |
|
| 61 |
+
# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[our website](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=race-numbers-detection-and-ocr)** to buy the dataset
|
| 62 |
|
| 63 |
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.
|
| 64 |
|
|
|
|
| 78 |
|
| 79 |
# Race Numbers Detection might be made in accordance with your requirements.
|
| 80 |
|
| 81 |
+
# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[our website](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=race-numbers-detection-and-ocr)** to discuss your requirements, learn about the price and buy the dataset
|
| 82 |
|
| 83 |
+
Leave a request on [our website](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=race-numbers-detection-and-ocr) to discuss your requirements, learn about the price and buy the dataset.
|
| 84 |
|
| 85 |
+
## [Our Team](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=race-numbers-detection-and-ocr) provides high-quality data annotation tailored to your needs
|
|
|
|
|
|
|
| 86 |
|
| 87 |
*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*
|