Ticket to Ride Games

Content:

The dataset contains high-resolution images capturing various board configurations during the game, showcasing the players’ city connections. The images are taken from four different angles to provide a complete view of the board’s layout. Additionally, the dataset includes a well-structure CSV file that labels each player’s city connections, detailing which cities have been successfully link by train routes. This labeling allows for in-depth analysis and pattern recognition, making it an ideal resource for those interest in game theory, AI training, or visual recognition models.

Key Features:

• Images: Over [insert number] high-quality images of board configurations during gameplay, capturing different stages and strategies employe by players.
• Angles: Each configuration is photograph from four distinct angles, ensuring comprehensive visual data for analysis.
• CSV Labeling: The accompanying CSV file provides detail labeling of players’ city connections, specifying which routes have been claim by each player. This structured data enables various analytical approaches, including statistical analysis, machine learning, and AI model training.
• Versatile Applications: The dataset can be use for computer vision tasks, such as object detection and image segmentation, as well as for developing AI models to simulate or predict player strategies in board games.
• Research Potential: Ideal for academic research, game development, and AI training, this dataset offers a rich source of data for exploring the complexities of board game strategies and player behaviors.