Volleyball Activity Dataset Object Detection Dataset and Pre-Trained Model by activity graz uni

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VolleyVision

Project Overview:

The Volleyball Activity Dataset is a collection of annotated volleyball video sequences captured from professional matches in the Austrian Volley League (season 2011/12). The dataset contains 6 videos with HD resolution (1920x1080) at 25 frames per second, encoded using the DX50 codec. It includes 7 activity classes: 'Serve', 'Reception', 'Setting', 'Attack', 'Block', 'Stand', 'Defense/Move'

Class Descriptions:

Serve: The action of serving the ball to initiate a rally. Reception: The action of receiving the served ball. Setting: The action of accurately positioning the ball for an attacker. Attack: The action of hitting or spiking the ball towards the opponent's court. Block: The action of intercepting the opponent's attack at the net. Stand: The class representing a player's static position or standing. Defense/Move: The class representing defensive movements or general player movements.

Links to External Resources:

Official Dataset: Graz University of Technology Volleyball Activity Dataset Paper 1: Improved Sport Activity Recognition using Spatio-temporal Context Paper 2: Indoor Activity Detection and Recognition for Automated Sport Games Analysis

RoboFlow Author

Shakhansho Sabzaliev - Github

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            volleyball-activity-dataset_dataset,
                            title = { Volleyball Activity Dataset Dataset },
                            type = { Open Source Dataset },
                            author = { activity graz uni },
                            howpublished = { \url{ https://universe.roboflow.com/activity-graz-uni/volleyball-activity-dataset } },
                            url = { https://universe.roboflow.com/activity-graz-uni/volleyball-activity-dataset },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-05-03 },
                            }