# APAC Egocentric Stereo The labeled stereo release of the APAC egocentric dataset, as native `.mcap` episodes. Twelve people were filmed doing their jobs while wearing a head-mounted stereo rig. Each sequence runs about a minute and carries the rectified video from both eyes, a depth render, a hand and head tracking render, and a caption describing what the wearer is doing at every moment. The work spans industrial, hospitality, logistics and retail settings, across 248 captioned segments and 62 distinct verbs. The depth stream is a false-colour render rather than metric depth, and both eyes ride in one side-by-side stream cut at `per_eye_width`. **Details** - Dataset name: `apac-egocentric-stereo` - Dataset source: [https://huggingface.co/datasets/Voxel51/APAC-Egocentric-Stereo](https://huggingface.co/datasets/Voxel51/APAC-Egocentric-Stereo) - Dataset size: 5.73 GB - Dataset license: CC-BY-4.0 - Tags: `multimodal, mcap, egocentric, stereo, action` - Supported splits: `N/A` - ZooDataset class: [`APACEgocentricStereoDataset`](../../api/fiftyone.zoo.datasets.base.md#fiftyone.zoo.datasets.base.APACEgocentricStereoDataset) **Example usage** Python CLI ```python import fiftyone as fo import fiftyone.zoo as foz dataset = foz.load_zoo_dataset("apac-egocentric-stereo") # The industrial workplaces view = dataset.match({"environment": "Industrial"}) session = fo.launch_app(dataset, view=view) ``` ```shell fiftyone zoo datasets load apac-egocentric-stereo fiftyone app launch apac-egocentric-stereo ```