metadata
viewer: false
Spatial Everyday Activities
Spatial Everyday Activities (SEA) is an egocentric dataset designed for training robotic foundation models. It comprises approximately 10,000 hours of egocentric data collected by computer vision experts across a diverse range of locations in the US and EU.
SEA-small is a 100GB open-source subset of the full SEA dataset.
Run the code
Setup an isolated environment
conda create -n sea python=3.12
conda activate sea
Install dependencies and download SEA-small
pip install rerun-sdk
git clone https://huggingface.co/datasets/spatial-ai/sea-small
cd sea-small
Install the project requirements
pip install -e .
Run the example viewer
python -m sea_scenes