footballbot Computer Vision Project

thellama

Updated 3 months ago

0

views

0

downloads

Metrics

Try This Model
Drop an image or
Description

Overview:

Football (soccer) player and football (soccer) ball detection dataset from Augmented Startups.

  • Project Type: Object Detection
  • Labeled/Annotated with: Bounding boxes

Classes:

  • football, player

How to Use:

This is a great starter-dataset for those wanting to test player and/or ball-tracking for football (soccer) games with the Deploy Tab, or the Deployment device and method of their choice.

Images can also be Cloned to another project to continue iterating on the project and model. World Cup, Premier League, La Liga, Major League Soccer (MLS) and/or Champions League computer vision projects, anyone?

Roboflow offers AutoML model training - Roboflow Train, and the ability to import and export up to 30 different annotation formats. Leaving you flexibility to deploy directly with a Roboflow Train model, or use Roboflow to prepare and manage datasets, and train and deploy with the custom model architecture of your choice + https://github.com/roboflow-ai/notebooks.

Tips for Model and Dataset Improvement:

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

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{
                            footballbot_dataset,
                            title = { footballbot Dataset },
                            type = { Open Source Dataset },
                            author = { thellama },
                            howpublished = { \url{ https://universe.roboflow.com/thellama/footballbot } },
                            url = { https://universe.roboflow.com/thellama/footballbot },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { sep },
                            note = { visited on 2024-11-21 },
                            }