Datasets

• Ego4D - 3,025 hours of daily-life activity video spanning hundreds of scenarios (household, outdoor, workplace, leisure, etc.) captured by 855 unique camera wearers from 74 worldwide locations and 9 different countries.
• EgoCom - A natural conversations dataset containing multi-modal human communication data captured simultaneously from the participants' egocentric perspectives.
• TREK-100 - Object tracking in first person vision.
• MECCANO - 20 subject assembling a toy motorbike.
• EPIC-Kitchens 2020 - Subjects performing unscripted actions in their native environments.
• EPIC-Tent - 29 participants assembling a tent while wearing two head-mounted cameras. [paper]
• EGO-CH - 70 subjects visiting two cultural sites in Sicily, Italy.
• EPIC-Kitchens 2018 - 32 subjects performing unscripted actions in their native environments.
• Charade-Ego - Paired first-third person videos.
• EGTEA Gaze+ - 32 subjects, 86 cooking sessions, 28 hours.
• ADL - 20 subjects performing daily activities in their native environments.
• CMU kitchen - Multimodal, 18 subjects cooking 5 different recipes: brownies, eggs, pizza, salad, sandwich.
• EgoSeg - Long term actions (walking, running, driving, etc.)
• First-Person Social Interactions - 8 subjects at disneyworld.
• UEC Dataset - Two choreographed datasets with different egoactions (walk, jump, climb, etc.) + 6 YouTube sports videos.
• JPL - Interaction with a robot.
• FPPA - Five subjects performing 5 daily actions.
• UT Egocentric - 3-5 hours long videos capturing a person's day.
• VINST/ Visual Diaries - 31 videos capturing the visual experience of a subject walking from metro station to work.
• Bristol Egocentric Object Interaction (BEOID) - 8 subjects, six locations. Interaction with objects and environment.
• Object Search Dataset - 57 sequences of 55 subjects on search and retrieval tasks.
• UNICT-VEDI - Different subjects visiting a museum.
• UNICT-VEDI-POI - Different subjects visiting a museum.
• Simulated Egocentric Navigations - Simulated navigations of a virtual agent within a large building.
• EgoCart - Egocentric images collected by a shopping cart in a retail store.
• Unsupervised Segmentation of Daily Living Activities - Egocentric videos of daily activities.
• Visual Market Basket Analysis - Egocentric images collected by a shopping cart in a retail store.
• Location Based Segmentation of Egocentric Videos - Egocentric videos of daily activities.
• Recognition of Personal Locations from Egocentric Videos - Egocentric videos clips of daily.
• EgoGesture - 2k videos from 50 subjects performing 83 gestures.
• EgoHands - 48 videos of interactions between two people.
• DoMSEV - 80 hours/different activities.
• DR(eye)VE - 74 videos of people driving.
• THU-READ - 8 subjects performing 40 actions with a head-mounted RGBD camera.
• EgoDexter - 4 sequences with 4 actors (2 female), and varying interactions with various objects and and cluttered background. [paper]
• First-Person Hand Action (FPHA) - 3D hand-object interaction. Includes 1175 videos belonging to 45 different activity categories performed by 6 actors. [paper]
• UTokyo Paired Ego-Video (PEV) - 1,226 pairs of first-person clips extracted from the ones recorded synchronously during dyadic conversations.
• UTokyo Ego-Surf - Contains 8 diverse groups of first-person videos recorded synchronously during face-to-face conversations.
• TEgO: Teachable Egocentric Objects Dataset - Contains egocentric images of 19 distinct objects taken by two people for training a teachable object recognizer.
• Multimodal Focused Interaction Dataset - Contains 377 minutes of continuous multimodal recording captured during 19 sessions, with 17 conversational partners in 18 different indoor/outdoor locations.