"Game_DS_MSN_speed_master"
Abstract
"Data consists of 10000+ gameplay frames in An \".npy \" format image can be reconstructed of IMG_SIZE = (84, 84); the screen was monitored of SIZE = {'top': 263, 'left': 337, 'width': 734, 'height': 869} & FPS = 15; it is collected using Python programming, and libraries include MSS, OpenCV-Python, Pynput, and Pyautogui.Game : Speed MasterData will have certain errors, as it was collected based on personal gameplay. Just 12 minutes of gameplay is required to collect this data; Users can recreate this data by playing the above-mentioned game."
Fields of Study & Subjects
Artificial Intelligence in Games
Reinforcement Learning in Robotics
Digital Games and Media
Publication details
- Journal / source
- IEEE DataPort
- Publication date
- 18 January 2026
- Document type
- Dataset