Dobble Cards Object Detection Computer Vision Project

Aravind Ellapu

Updated 2 years ago

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Classes (40)
Baby bottle
Bomb
Cactus
Candle Carrot Cheese
Chess Knight
Clock
Dinosaur
Dog Dolphin
Exclamation point
Fire
Four leaf clover
Ghost
Green Splats
Heart
Igloo
Key
Light bulb
Moon
No Entry Sign
Orange Scarecrow man
Pencil
Purple Cat
Scissors
Snowflake
Snowman
Spider Web
Sun
Target
Taxi car
Tortoise
Treble clef
Tree
Water drip
Yin
Yin and Yang
Zebra eye
Description

Here are a few use cases for this project:

  1. Educational Games: Use the Dobble Cards Object Detection model to develop interactive and educational games for children, helping them learn and recognize different symbols through the objects detected in the game.

  2. Augmented Reality Experience: Create an AR-based scavenger hunt using a mobile app that scans the environment and helps users locate the hidden Dobble card symbols in real-world settings, adding an interactive and engaging element for events or team-building activities.

  3. Accessibility Aid: Develop an assistive tool for visually impaired individuals that can recognize and describe the symbols on Dobble cards through an auditory interface, enabling them to participate in activities and games that involve these cards.

  4. Content and Asset Management: Use the model to automatically categorize and tag image-based assets in digital libraries or content management systems, speeding up the search process for users looking for specific symbols or objects.

  5. Extending Dobble Game Variations: Employ the model to create new variations or expansion packs for the Dobble game, introducing new symbols or modifying the game mechanics, providing players with fresh challenges and experiences.

Supervision

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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{
                            dobble-cards-object-detection_dataset,
                            title = { Dobble Cards Object Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Aravind Ellapu },
                            howpublished = { \url{ https://universe.roboflow.com/aravind-ellapu/dobble-cards-object-detection } },
                            url = { https://universe.roboflow.com/aravind-ellapu/dobble-cards-object-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-11-18 },
                            }
                        
                    

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