Published December 6, 2024
| Version 1.0.0
Video/Audio
Open
Egocentric video clips of laboratory actions
Authors/Creators
Description
A collection of video clips in MPEG-4 format related to experimental laboratory actions. Each clip lasts 4 seconds at 4 frames per second and is recorded from an egocentric point of view. The clips contain no personally identifiable information. The collection comprises two datasets that are described below. Further details of the datasets and related Python code are available as resources linked to this data entry.
- lab-actions_annotations_splits.csv
CSV file containing the filename of each clip along with the corresponding action label and split assignment (testing, training or validation) for the Lab Actions dataset
- lab-motion_annotations_splits.csv
CSV file containing the filename of each clip along with the corresponding action label and split assignment (testing, training or validation) for the Lab Motion dataset
- lab-actions
Folder containing the video clips of the Lab Actions dataset (4529 video clips at 4 s / 4 fps)- V
Folder containing the original video modality of the lab-actions dataset - VG
Folder containing the overlaid gaze coordinate on the original video modality of the lab-actions dataset - M
Folder containing clips of the lab-actions dataset converted to segmentation masks - D
Folder containing clips of the lab-actions dataset converted to depth signals
- V
- lab-motion
Folder containing the video clips of the Lab Motion dataset (2014 video clips at 4 s / 4 fps)
Files
lab-actions_annotations_splits.csv
Additional details
Software
- Repository URL
- https://github.com/IBM/lab-activity-recognition
- Programming language
- Python