The Dreidel Project Computer Vision Project
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When learning to play Dreidel, I would sometimes forget what the names of each character are and what action they correspond to in the game. I thought it’d be fun to create a computer vision model that could understand what each symbol on a Dreidel is, making it easier to learn to play the game.
This model tracks the dreidel as it spins and detects the letters that are on the four sided dreidel. 
How to Play Dreidel
Rules: 1. The players are dealt gelt (chocolate wrapped in gold paper made to look like a coin) 2. Each player takes a turn at spinning the Dreidel 3. The Dreidel has four sides that each prompt an action to take by the spinner If נ (nun) is facing up, the player does nothing. If ג (gimel) is facing up, the player gets everything in the pot. If ה (hay) is facing up, the player gets half of the pieces in the pool. If ש (shin) the player adds one of their gelt to the pot 4. The winner, of course, gets to eat all the gelt
Hopefully, with this application, one can create an application that teaches someone how to play dreidel.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
the-dreidel-project_dataset,
title = { The Dreidel Project Dataset },
type = { Open Source Dataset },
author = { Salo Levy },
howpublished = { \url{ https://universe.roboflow.com/salo-levy-nlqrn/the-dreidel-project } },
url = { https://universe.roboflow.com/salo-levy-nlqrn/the-dreidel-project },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { may },
note = { visited on 2024-11-21 },
}