Coin, Dice, Tennis Ball Computer Vision Project

SpacXpo

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. Sports Equipment Inventory Management: Users can utilize the "Coin, Dice, Tennis Ball" model to automatically track and manage the inventory of sports equipment in stores or sports centers, making it easier to monitor stocks and perform audits efficiently.

  2. Online Marketplace Categorization: The model can be applied to automatically categorize and tag product images on e-commerce platforms, helping customers quickly find and purchase items such as coins, dice, or tennis balls.

  3. Quality Control in Manufacturing: Manufacturers producing coins, dice, and tennis balls can implement the computer vision model in their production lines for real-time quality assessment, ensuring accurate production and reducing defective items.

  4. Augmented Reality Gaming: The "Coin, Dice, Tennis Ball" model can be integrated into augmented reality games that require real-world object recognition, allowing players to interact with physical objects such as coins, dice, and tennis balls as part of the gameplay.

  5. Educational Applications: The model can be employed in various educational settings, such as teaching children to recognize different objects or assisting visually impaired individuals in identifying everyday items through object recognition software.

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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{
                            coin-dice-tennis-ball_dataset,
                            title = { Coin, Dice, Tennis Ball Dataset },
                            type = { Open Source Dataset },
                            author = { SpacXpo },
                            howpublished = { \url{ https://universe.roboflow.com/spacxpo/coin-dice-tennis-ball } },
                            url = { https://universe.roboflow.com/spacxpo/coin-dice-tennis-ball },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { oct },
                            note = { visited on 2024-11-21 },
                            }