Garis lapangan Computer Vision Project
Updated a year ago
Metrics
Here are a few use cases for this project:
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Football Playing Tactics Analysis: This model can be used to automatically detect and analyze the movement of players around the pitch in relation to the field lines. This information could be useful to coaches, helping them to formulate strategies and understand players' positioning during a match.
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Autonomous Robotic Navigation: For robots navigating a football field, drones mapping landscapes, or automated ground maintenance vehicles, this model could inform their spatial awareness and guide their movement along the field by recognizing different field lines.
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Augmented Reality Sports Games: The model can be used to develop AR or VR sports games and simulations, by mapping real-world football lines onto the digital arena helping to create a more immersive, realistic experience.
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Sports Broadcasts Enhancement: The model can help enhance sports broadcasting technology by accurately recognizing and highlighting specific field lines during a live football match, aiding viewers' understanding of the game.
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Sports Maintenance and Field Construction: This model can assist in reporting or recognizing defects, irregularities, or inconsistencies in sports field lines, ensuring proper maintenance and construction of sports fields. It could auto-detect if the lines are fading or if they're not correctly drawn to meet the sport's regulations.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
garis-lapangan-oc4uc_dataset,
title = { Garis lapangan Dataset },
type = { Open Source Dataset },
author = { BASCORRO VISION },
howpublished = { \url{ https://universe.roboflow.com/bascorro-vision/garis-lapangan-oc4uc } },
url = { https://universe.roboflow.com/bascorro-vision/garis-lapangan-oc4uc },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-11-14 },
}