"Game_DS_MSN_speed_master"

Read full text
Authors: SHIVAM PATEL
Cited by: 0

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