Big foosball detection dataset Computer Vision Project

Christian Freystein

Updated a year ago

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Classes (2)
ball
figure
Description

The aim of this dataset is to build the foundation for creating a big foosball statistics tool. The most important thing to have is an object detection for the figures and the balls during a game.

This dataset is a combination of these 5 different foosball datasets.

  1. https://universe.roboflow.com/ku-leuven/foosball-rekwx
  2. https://universe.roboflow.com/master-qwngc/kicker-eval
  3. https://universe.roboflow.com/sep-cm2-5/sep-cm2-5-extra-v2
  4. https://universe.roboflow.com/tim-arnold-wqtri/foosball-4lfco
  5. https://github.com/kickertech/foosball-dataset

The following adjustments were done to the datasets:

  • the classes were merged and reduced to "ball" and "figure"
  • datasets were checked for errors
  • ambiguous images were deleted
  • missing labels were added
  • some bounding boxes were adjusted better to the objects

If you are interested in further developing a foosball statistics tool. Feel free to contact me.

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            big-foosball-detection-dataset_dataset,
                            title = { Big foosball detection dataset Dataset },
                            type = { Open Source Dataset },
                            author = { Christian Freystein },
                            howpublished = { \url{ https://universe.roboflow.com/christian-freystein-7oxkq/big-foosball-detection-dataset } },
                            url = { https://universe.roboflow.com/christian-freystein-7oxkq/big-foosball-detection-dataset },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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