Dataset: YawDD

YawDD

A dataset of videos, recorded by an in-car camera, of drivers in an actual car with various facial characteristics (male and female, with and without glasses/sunglasses, different ethnicities) talking, singing, being silent, and yawning. It can be used primarily to develop and test algorithms and models for yawning detection, but also recognition and tracking of face and mouth. The videos are taken in natural and varying illumination conditions.

You can download the dataset for free from IEEE DataPort (you will need to create a free IEEE account, if you are not an IEEE member already). Click here for more details about this dataset. 

 Dataset: FooDD

FooDD

Images of various foods, taken with different cameras and different lighting conditions. Images can be used to design and test Computer Vision techniques that can recognize foods and estimate their calories and nutrition.

You can download the dataset for free from IEEE DataPort (you will need to create a free IEEE account, if you are not an IEEE member already). Click here for more details about this dataset.

Dataset: GSET Somi

Somi

This is an eye tracking dataset of 84 computer game players who played the side-scrolling cloud game Somi. The game was streamed in the form of video from the cloud to the player. The dataset consists of 135 raw videos (YUV) at 720p and 30 fps with eye tracking data for both eyes (left and right). Male and female candidates were asked to play the game in front of a remote eye-tracking device. For each player, we recorded gaze points, video frames of the gameplay, and mouse and keyboard commands. For each video frame, a list of its game objects with their locations and sizes was also recorded. This data, synchronized with eye-tracking data, allows one to calculate the amount of attention that each object or group of objects draw from each player. This dataset can be used for designing and testing game-specific visual attention models.

You can download the dataset for free from IEEE DataPort (you will need to create a free IEEE account, if you are not an IEEE member already). Click here for more details about this dataset. 

Dataset: FOCUS

FOCUS

EEG brain recordings of ADHD and non-ADHD individuals during gameplay of a brain controlled game, recorded with an EMOTIV EEG headset. It can be used to design and test machine learning methods to detect individuals with ADHD.

You can download the dataset for free from IEEE DataPort (you will need to create a free IEEE account, if you are not an IEEE member already). Click here for more details about this dataset.

 Software: An Open Source Cloud Gaming Testbed Using DirectShow

CloudGaming

An open source cloud gaming testbed the screen capturing module of which is fundamentally a DirectShow filter and, hence, can be tuned for any DirectShow compatible video game. It also facilitates the measurement of delay and video quality.
See here for more details.