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Datasets/EGTEA

EGTEA

EGTEA Gaze+

Introduced 2018-09-01

Extended GTEA Gaze+ EGTEA Gaze+ is a large-scale dataset for FPV actions and gaze. It subsumes GTEA Gaze+ and comes with HD videos (1280x960), audios, gaze tracking data, frame-level action annotations, and pixel-level hand masks at sampled frames. Specifically, EGTEA Gaze+ contains 28 hours (de-identified) of cooking activities from 86 unique sessions of 32 subjects. These videos come with audios and gaze tracking (30Hz). We have further provided human annotations of actions (human-object interactions) and hand masks.

The action annotations include 10325 instances of fine-grained actions, such as "Cut bell pepper" or "Pour condiment (from) condiment container into salad".

The hand annotations consist of 15,176 hand masks from 13,847 frames from the videos.

Source: http://cbs.ic.gatech.edu/fpv/ Image Source: http://cbs.ic.gatech.edu/fpv/

Benchmarks

2D Human Pose Estimation/Top-1 AccuracyAction Anticipation/Top-1 AccuracyAction Recognition/Top-1 AccuracyAction Recognition In Videos/Top-1 AccuracyActivity Recognition/Top-1 AccuracyActivity Recognition/Average AccuracyActivity Recognition/Mean class accuracyFew-Shot Image Classification/Average PrecisionFew-Shot Image Classification/Average RecallGeneralized Few-Shot Classification/Average PrecisionGeneralized Few-Shot Classification/Average RecallGeneralized Few-Shot Learning/Average PrecisionGeneralized Few-Shot Learning/Average RecallImage Classification/Average PrecisionImage Classification/Average RecallLong-tail Learning/Average PrecisionLong-tail Learning/Average Recall

Statistics

Papers
100
Benchmarks
17

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Tasks

2D Human Pose EstimationAction AnticipationAction RecognitionAction Recognition In VideosActivity RecognitionEgocentric Activity RecognitionFew-Shot Image ClassificationGeneralized Few-Shot ClassificationGeneralized Few-Shot LearningImage ClassificationLong-tail Learning