Update README.md

README.md

@@ -5,7 +5,10 @@ task_categories:
 language:
 - en
 tags:
-- code
+- object detection
+- Basketball Tracking
+- deep learning
+- multi-object tracking
 dataset_info:
   features:
   - name: image_id
@@ -22,6 +25,8 @@ dataset_info:
     num_examples: 70
   download_size: 191271989
   dataset_size: 191244976
+size_categories:
+- 1K<n<10K
 ---
 
 # Basketball Tracking, Object Detection dataset
@@ -29,7 +34,7 @@ dataset_info:
 The dataset consist of screenshots from videos of basketball games with the ball labeled with a bounging box. 
 The dataset can be used to train a neural network in ball control recognition. The dataset is useful for automating the camera operator's work during a match, allowing the ball to be efficiently kept in frame.
 
-# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[TrainingData](https://trainingdata.pro/datasets/object-tracking?utm_source=huggingface&utm_medium=cpc&utm_campaign=basketball_tracking)** to buy the dataset
+# 💴 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=basketball_tracking)** to buy the dataset
 
 ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fea2edf89c2283260b8849c9b4f30f02e%2Fres.gif?generation=1690705622031552&alt=media)
 
@@ -51,12 +56,10 @@ Each image from `img` folder is accompanied by an XML-annotation in the `annotat
 
 # Basketball Tracking 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/object-tracking?utm_source=huggingface&utm_medium=cpc&utm_campaign=basketball_tracking) to discuss your requirements, learn about the price and buy the dataset**
+# 💴 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=basketball_tracking)** 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=basketball_tracking) to discuss your requirements, learn about the price and buy the dataset.
 
-## **[TrainingData](https://trainingdata.pro/datasets/object-tracking?utm_source=huggingface&utm_medium=cpc&utm_campaign=basketball_tracking)** provides high-quality data annotation tailored to your needs
+## [Our Team](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=basketball_tracking) 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: object detection dataset, tracking dataset, detection annotations, deep learning object tracking, multi-object tracking dataset, labeled web tracking dataset, large-scale object tracking dataset, sports datasets, sports actions dataset, sports data action detection, sports analytics dataset, sports management, sports classification dataset, sports scene, image dataset, basketball team performance, basketball game dataset, player tracking data*