[dataset]Self-Play Game Records of Go for Professional Level III
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Category Archives: 未分類
[dataset]Human vs. Bot Go Game Record
研究人類智慧，製作不同強度與風格的對弈機器人。
增加下棋樂趣，推廣圍棋，鍛鍊頭腦，延緩失智症。
Study human intelligence and make game robots of different strengths
and styles.
Increase the fun of playing chess, promote the game of chess, exercise
the mind, and delay dementia.
[model]CGI Strength Adjustment AI Model V3
CGI Strength Adjustment AI Model V3
Introduction
提供適用於職業棋士水準的可調整強度之圍棋遊戲對弈 AI
A strength adjustable AI model of the game of Go for professional
level.
If interested, feel free to contact us to discuss sharing cooperation.
Please contact Chien Shan Lin (email: lcs0909.ee13@nycu.edu.tw )
[dataset]IEEE ICME 2024 Grand Challenges
We provide 1,200 annotated 800x1020 training images in , which part of them are revised from the original “300W” [1]. These images are a subset adapted from the original 300W facial landmark dataset, which have been enhanced to focus solely on facial landmarks. Additional landmarks have been annotated, expanding beyond the standard 68-point annotation scheme to create a comprehensive 51-point facial-landmark detection dataset. This includes a mix of images from the original 300W dataset and our custom images, all annotated with precise facial landmark coordinates.
[dataset]Emotion EEG Dataset
[dataset]模擬平台所合成之車輛物件資料
These datasets are used for training vehicle tracking and vehicle recognition tasks.
[dataset]human activity dataset
[model]Pommerman Video Game AI Bot V2
提供適用於職業棋士水準的可調整強度之圍棋遊戲對弈 AI
A strength adjustable AI model of the game of Go for professional level.
If interested, feel free to contact us to discuss sharing cooperation.
Please contact Chien Shan Lin (email: lcs0909.ee13@nycu.edu.tw )
[model]CirLSTM
[model]I2AP