Chess Sample Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
-
Board Game Analysis: Use the Chess Sample model to analyze images of various board games involving red pieces, like checkers, to determine game states, suggest optimal moves, and track the game progress during live streaming or gameplay tutorials.
-
Furniture Cataloging: Apply the Chess Sample model to automatically sort and catalog photos of furniture containing red elements, such as chairs, sofas, and tables. This can aid online retailers or design professionals in quickly finding and organizing images with red pieces to present specific design ideas.
-
Detecting Red Object Presence: Utilize the Chess Sample model for detecting and alerting the presence of red objects within areas where visibility is crucial, such as manufacturing plants or construction sites, to ensure safety and adherence to regulations.
-
Video Game Asset Organization: Implement the Chess Sample model to classify and organize video game assets that include red pieces, streamlining the content creation process for game developers and aiding in asset library management.
-
Art and Design Inspiration: Use the Chess Sample model to create mood boards or collections of images that feature red elements or pieces, inspiring artists and designers in various fields such as fashion design, interior design, or graphic design.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
chess-sample-gdthj_dataset,
title = { Chess Sample Dataset },
type = { Open Source Dataset },
author = { lim },
howpublished = { \url{ https://universe.roboflow.com/lim-eotro/chess-sample-gdthj } },
url = { https://universe.roboflow.com/lim-eotro/chess-sample-gdthj },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { mar },
note = { visited on 2024-09-17 },
}