Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    RuntimeError
Message:      Dataset scripts are no longer supported, but found basketball_tracking.py
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1031, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 989, in dataset_module_factory
                  raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
              RuntimeError: Dataset scripts are no longer supported, but found basketball_tracking.py

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Basketball Tracking, Object Detection dataset

Tracking is a deep learning process where the algorithm tracks the movement of an object.

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.

πŸ’΄ For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on our website to buy the dataset

Dataset structure

  • images - contains of original images of basketball players.
  • boxes - includes bounding box labeling for a ball in the original images.
  • annotations.xml - contains coordinates of the boxes and labels, created for the original photo

Data Format

Each image from img folder is accompanied by an XML-annotation in the annotations.xml file indicating the coordinates of the bounding boxes for the ball position. For each point, the x and y coordinates are provided.

Attributes

  • occluded - the ball visability (true if the the ball is occluded by 30%)
  • basket - the position related to the basket (true if the ball is covered with a basket on any distinguishable area)

Example of XML file structure

Basketball Tracking might be made in accordance with your requirements.

πŸ’΄ Buy the Dataset: This is just an example of the data. Leave a request on our website to discuss your requirements, learn about the price and buy the dataset

Leave a request on our website to discuss your requirements, learn about the price and buy the dataset.

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