Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset consists of volleyball court images and ball object detection annotations. Two versions have been made for this dataset, one with RGB images and the other with grayscale images. This dataset has been annotated precisely to train a yolov8x model to detect the ball in volleyball matches. This dataset is part of three datasets (the other two for volleyball players and referee object detection and volleyball court key points regression) used to train yolov8x models for my project.
https://nomorecopyright.com/terms-of-servicehttps://nomorecopyright.com/terms-of-service
Collection of free volleyball images without copyright restrictions
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
## Overview
Beach Volleyball is a dataset for object detection tasks - it contains Players BeachVolleyball annotations for 4,464 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
Over 9,000 images of sports balls from 15 different sports. These are: american football, baseball, basketball, billiard ball, bowling ball, cricket ball, football, golf ball, field hockey ball, hockey puck, rugby ball, shuttlecock, table tennis ball, tennis ball and volleyball.
Images were scraped from google images and then manually reviewed to remove misclassified images (although I might have missed some). Duplicates were removed using a dHash style algorithm. The train/test split is 80/20.
This is an interesting dataset because several images are misleading, e.g. some balls have been painted to look like other balls. See some examples below:
https://i.postimg.cc/jdHLWfbs/golf-ball-681-copy.jpg">
https://i.postimg.cc/85vT28k1/cricket-ball-1156.jpg">
https://i.postimg.cc/yYs7brMH/american-football-58.jpg">
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Volleyball Detect Dataset is a dataset for object detection tasks - it contains Volleyball annotations for 1,179 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
## Overview
Volleyball is a dataset for object detection tasks - it contains Ball annotations for 477 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [MIT license](https://creativecommons.org/licenses/MIT).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Volleyball Action Recognition is a dataset for object detection tasks - it contains Volleyball_actions annotations for 1,347 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This paper presents methods for the determination of players' positions and contact time points by tracking the players and the ball in beach volleyball videos. Two player tracking methods are compared, a classical particle filter and a rigid grid integral histogram tracker. Due to mutual occlusion of the players and the camera perspective, results are best for the front players, with 74,6% and 82,6% of correctly tracked frames for the particle method and the integral histogram method, respectively. Results suggest an improved robustness against player confusion between different particle sets when tracking with a rigid grid approach. Faster processing and less player confusions make this method superior to the classical particle filter. Two different ball tracking methods are used that detect ball candidates from movement difference images using a background subtraction algorithm. Ball trajectories are estimated and interpolated from parabolic flight equations. The tracking accuracy of the ball is 54,2% for the trajectory growth method and 42,1% for the Hough line detection method. Tracking results of over 90% from the literature could not be confirmed. Ball contact frames were estimated from parabolic trajectory intersection, resulting in 48,9% of correctly estimated ball contact points.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Blue Volleyball is a dataset for object detection tasks - it contains Volleyballs annotations for 654 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Volleyball 頑張る is a dataset for object detection tasks - it contains Volleyball annotations for 5,574 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Yolov8n Volleyball is a dataset for object detection tasks - it contains I annotations for 778 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Volleyball Tracking is a dataset for object detection tasks - it contains Volleyball annotations for 29,951 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset consists of volleyball court images along with their key point annotations. Four versions have been made for this dataset, two of which have eight distinct key points on the volleyball court, and the other two have four distinct key points on the volleyball court. This dataset has been annotated precisely to train a yolov8x-pose model to regress the key points on volleyball courts in order to carry out a homography and perspective transformation for producing a radar view of the court. This dataset is part of three datasets (the other two for volleyball players and referee object detection and volleyball ball object detection) used to train yolov8x models for my project.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
https://raw.githubusercontent.com/shukkkur/VolleyVision/9a6ada3107ec6ef3031982bfac58a1bbf2595241/assets/vv_logo.png" alt="vv">
This dataset is part of my bachelor thesis project. It was created by combining multiple open-source datasets from RoboFlow Universe as well as manual annotation.
You can find the code, models, metrics, everything related to this dataset in practical terms - GitHub Link
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Volleye is a dataset for object detection tasks - it contains Volleyball annotations for 328 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Volleyball_train is a dataset for object detection tasks - it contains Volleyball annotations for 1,137 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Volleyball2 is a dataset for object detection tasks - it contains Volleyball annotations for 227 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset consists of volleyball court images and ball object detection annotations. Two versions have been made for this dataset, one with RGB images and the other with grayscale images. This dataset has been annotated precisely to train a yolov8x model to detect the ball in volleyball matches. This dataset is part of three datasets (the other two for volleyball players and referee object detection and volleyball court key points regression) used to train yolov8x models for my project.