Four-Player Chess Pieces

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Four-Player Chess Pieces

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Four-Player Chess

Use Case

Four-Player Chess

Description

Explore the Four-Player Chess dataset designed for high-resolution AI training and game development. Perfect for chess software, educational tools, and game analysis.

Description:

The Chess dataset is specifically designed to train neural networks to recognize chess pieces in a four-player setup. The dataset includes high-resolution images of chess pieces created using a 3D printer, ensuring uniformity and clarity for efficient recognition.

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Dataset Details

Content: The dataset contains multiple photos of each type of chess piece used in four-player chess, including kings, queens, bishops, knights, rooks, and pawns.
Image Quality: High-resolution images captured under controlled lighting conditions to minimize shadows and reflections, ensuring clear and distinct features of each piece.
Annotations: Each image is annotated with labels identifying the type of piece and its color (red, blue, green, yellow).
Format: Images are provided in JPEG format, and annotations are available in JSON format.

Usage

This dataset is ideal for training machine learning models for various applications, such as:

Chess Software Development: Enhancing AI capabilities in recognizing and interpreting four-player chess pieces for digital chess platforms.
Educational Tools: Developing tools for teaching and learning chess strategies in a four-player setup.
Game Analysis: Assisting in the analysis of four-player chess games by providing accurate piece recognition.

Additional Features

Diversity: Includes variations in piece designs to account for different 3D printing models and styles.
Backgrounds: Images taken against different backgrounds to simulate real-world scenarios.
Scalability: Dataset can be easily expanded with additional images and annotations as needed.