Update README.md
Browse files
README.md
CHANGED
@@ -5,7 +5,11 @@ license: cc-by-nc-nd-4.0
|
|
5 |
task_categories:
|
6 |
- image-segmentation
|
7 |
tags:
|
8 |
-
-
|
|
|
|
|
|
|
|
|
9 |
dataset_info:
|
10 |
- config_name: video_01
|
11 |
features:
|
@@ -152,14 +156,14 @@ dataset_info:
|
|
152 |
# UFC/MMA Fights Images Segmentation, Sport Dataset
|
153 |
The dataset consists of a collection of photos extracted from **videos of fights**. It includes **segmentation masks** for **fighters, referees, mats, and the background**.
|
154 |
|
155 |
-
# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[
|
156 |
|
157 |
The dataset offers a resource for *object detection, instance segmentation, action recognition, or pose estimation*.
|
158 |
It could be useful for **sport community** in identification and detection of the violations, dispute resolution and general optimisation of referee's work using computer vision.
|
159 |
|
160 |

|
161 |
|
162 |
-
|
163 |
|
164 |
# Dataset structure
|
165 |
- **images** - contains of original images extracted from the videos of fights
|
@@ -182,10 +186,8 @@ Each image from `images` folder is accompanied by an XML-annotation in the `anno
|
|
182 |
|
183 |
# Fights Segmentation might be made in accordance with your requirements.
|
184 |
|
185 |
-
|
186 |
|
187 |
-
|
188 |
-
|
189 |
-
TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
|
190 |
|
191 |
*keywords: body segmentation dataset, human segmentation dataset, human body segmentation, people images dataset, biometric data dataset, biometric dataset, ufc athletes, sports dataset, ultimate fighting championship, semantic segmentation, computer vision, deep learning, machine learning, image dataset, image classification, human images*
|
|
|
5 |
task_categories:
|
6 |
- image-segmentation
|
7 |
tags:
|
8 |
+
- body segmentation
|
9 |
+
- sports
|
10 |
+
- computer vision
|
11 |
+
- deep learning
|
12 |
+
- ultimate fighting championship
|
13 |
dataset_info:
|
14 |
- config_name: video_01
|
15 |
features:
|
|
|
156 |
# UFC/MMA Fights Images Segmentation, Sport Dataset
|
157 |
The dataset consists of a collection of photos extracted from **videos of fights**. It includes **segmentation masks** for **fighters, referees, mats, and the background**.
|
158 |
|
159 |
+
# 💴 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=fights-segmentation)** to buy the dataset
|
160 |
|
161 |
The dataset offers a resource for *object detection, instance segmentation, action recognition, or pose estimation*.
|
162 |
It could be useful for **sport community** in identification and detection of the violations, dispute resolution and general optimisation of referee's work using computer vision.
|
163 |
|
164 |

|
165 |
|
166 |
+
## 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=fights-segmentation) provides high-quality data annotation tailored to your needs
|
167 |
|
168 |
# Dataset structure
|
169 |
- **images** - contains of original images extracted from the videos of fights
|
|
|
186 |
|
187 |
# Fights Segmentation might be made in accordance with your requirements.
|
188 |
|
189 |
+
Leave a request on [our website](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=fights-segmentation) to discuss your requirements, learn about the price and buy the dataset.
|
190 |
|
191 |
+
## [Our Team](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=fights-segmentation) provides high-quality data annotation tailored to your needs
|
|
|
|
|
192 |
|
193 |
*keywords: body segmentation dataset, human segmentation dataset, human body segmentation, people images dataset, biometric data dataset, biometric dataset, ufc athletes, sports dataset, ultimate fighting championship, semantic segmentation, computer vision, deep learning, machine learning, image dataset, image classification, human images*
|