MPIIGaze is a dataset for appearance-based gaze estimation in the wild. It contains 213,659 images collected from 15 participants during natural everyday laptop use over more than three months. It has a large variability in appearance and illumination.
75 PAPERS • 1 BENCHMARK
The EYEDIAP dataset is a dataset for gaze estimation from remote RGB, and RGB-D (standard vision and depth), cameras. The recording methodology was designed by systematically including, and isolating, most of the variables which affect the remote gaze estimation algorithms:
46 PAPERS • 2 BENCHMARKS
Consists of over one million high-resolution images of varying gaze under extreme head poses. The dataset is collected from 110 participants with a custom hardware setup including 18 digital SLR cameras and adjustable illumination conditions, and a calibrated system to record ground truth gaze targets.
42 PAPERS • 1 BENCHMARK
OpenEDS (Open Eye Dataset) is a large scale data set of eye-images captured using a virtual-reality (VR) head mounted display mounted with two synchronized eyefacing cameras at a frame rate of 200 Hz under controlled illumination. This dataset is compiled from video capture of the eye-region collected from 152 individual participants and is divided into four subsets: (i) 12,759 images with pixel-level annotations for key eye-regions: iris, pupil and sclera (ii) 252,690 unlabelled eye-images, (iii) 91,200 frames from randomly selected video sequence of 1.5 seconds in duration and (iv) 143 pairs of left and right point cloud data compiled from corneal topography of eye regions collected from a subset, 143 out of 152, participants in the study.
23 PAPERS • 1 BENCHMARK
A dataset for building models that detect people Looking At Each Other (LAEO) in video sequences.
5 PAPERS • NO BENCHMARKS YET
Dataset to address the problem of detecting people Looking At Each Other (LAEO) in video sequences.
4 PAPERS • NO BENCHMARKS YET
OpenEDS2020 is a dataset of eye-image sequences captured at a frame rate of 100 Hz under controlled illumination, using a virtual-reality head-mounted display mounted with two synchronized eye-facing cameras. The dataset, which is anonymized to remove any personally identifiable information on participants, consists of 80 participants of varied appearance performing several gaze-elicited tasks, and is divided in two subsets: 1) Gaze Prediction Dataset, with up to 66,560 sequences containing 550,400 eye-images and respective gaze vectors, created to foster research in spatio-temporal gaze estimation and prediction approaches; and 2) Eye Segmentation Dataset, consisting of 200 sequences sampled at 5 Hz, with up to 29,500 images, of which 5% contain a semantic segmentation label, devised to encourage the use of temporal information to propagate labels to contiguous frames.
2 PAPERS • NO BENCHMARKS YET
LISA Gaze is a dataset for driver gaze estimation comprising of 11 long drives, driven by 10 subjects in two different cars.
1 PAPER • NO BENCHMARKS YET
This is a synthetic dataset containing full images (instead of only cropped faces) that provides ground truth 3D gaze directions for multiple people in one image.
1 PAPER • 1 BENCHMARK