8 datasets found

The dataset used in the paper is a dataset of instructional videos, which includes 150 videos depicting 5 daily tasks, with an average of 9.5 actions per video.

The dataset used in the paper is a dataset of instructional videos, which includes 2,750 videos spanning 18 different tasks, with an average of 7.6 actions per video.

The dataset used in the paper is a large-scale instructional video dataset, which includes 11,827 videos involving 180 different tasks, with an average of 3.6 actions per video.

The dataset used in the LORD framework for autonomous driving, consisting of images, videos, and text-based observations.

The CrossTask dataset contains 2,750 instructional videos, annotated for 133 keystep labels spanning 18 tasks.

The COIN dataset is a large-scale instructional video dataset that contains 100 hours of video. The dataset is used for instructional video analysis and understanding.

COIN dataset for comprehensive instructional video analysis

CrossTask and COIN datasets for procedure planning in instructional videos