This page lists datasets related to topics of this workshop. If you want to include a dataset that is not in the list please let us know.
| Name | Description | URL or Contact |
| GeorgiaTech Egocentric Activities (GTEA) | This dataset contains 7 types of daily activities, each performed by 4 different subjects. The camera is mounted on a cap worn by the subject. | Link |
| First-Person Social Interactions Dataset | This dataset contains day-long videos of 8 subjects spending their day at Disney World Resort in Orlando, Florida. The cameras are mounted on a cap worn by subjects. Elan annotations for number of active participants in the scene, and the type of activity: walking, waiting, gathering, sitting, buying something, eating, etc. | Link |
| EGO-GROUP | This social group detector dataset for egocentric vision, which consists of 18 videos collected in different situations: a laboratory, a coffee break, a conference room, an outdoor scenario. | Link |
| JPL First-Person Interaction dataset | This dataset is composed of human activity videos taken from a first-person viewpoint. The dataset particularly aims to provide first-person videos of interaction-level activities, recording how things visually look from the perspective (i.e., viewpoint) of a person/robot participating in such physical interactions. | Link |
| EGO-HPE | EGO-HPE dataset provides a set of egocentric video a with different subjects for head pose estimation. Each video is annotated at frame level for five yaw angle orientations(-75, -45, 0, 45, 75) with respect to the subject wearing the camera. | Link |
| ADL | We have collected a dataset of 1 million frames of dozens of people performing unscripted, everyday activities. The dataset is annotated with activities, object tracks, hand positions, and interaction events. | Link |
| Zoombie Dataset | This dataset consists of three ego-centric videos containing indoor and outdoor scenes where hands are purposefully extended outwards to capture the change in skin color. | Link |
| Interactive Museum dataset | A gesture recognition dataset taken from the ego-centric perspective in a virtual museum environment. Five different users perform seven hand gestures. | Link |
| Intel Egocentric Object dataset | This is a dataset for the recognition of handled objects using a wearable camera. It includes ten video sequences from two human subjects manipulating 42 everyday object instances. | Link |
| GTEA Gaze+ Dataset | This dataset consists of seven meal-preparation activities collected using eye-tracking glasses, each performed by 10 subjects. Subjects perform the activities based on the given cooking recipes. | Link |
| Huji EgoSeg Dataset | This dataset consists of 29 videos captured from an ego-centric camera annotated in Elan format. The videos prefixed with "youtube*" were downloaded from YouTube, the rest of the videos were taken by Hebrew University of Jerusalem researchers and contain various daily activities. | Link |
| UT Ego Dataset | UT Ego Dataset contains 4 videos captured from head-mounted cameras. Each video is about 3-5 hours long, captured in a natural, uncontrolled setting. They used the Looxcie wearable camera, which captures video at 15 fps at 320 x 480 resolution. The videos capture a variety of daily activities. | Link |