<ul>
<li>10 pairs of synchronized, multi-view videos, between 10 and 15 seconds in length</li>
<li>In-domain action sequences, including lifting and reaching movements with good and bad form</li>
<li>Complex combinations of personal protective equipment, including hardhats, goggles, ear protection, and safety vests </li>
<li> Fully segmented items on the floor and shelves</li>
<li>Procedurally generated camera motion paths that are unique to each video and exhibit no object collisions</li>
<li>Rich annotations, including fully segmented scenes and 3D keypoints </li>
</ul>

Each video is accompanied by a rich set of pixel-perfect labels and annotations, including:
<br>
<ul>
<li>Shelf fill factor %</li>
<li>Camera location</li>
<li>Segmentation masks</li>
<li>Bounding boxes</li>
</ul>
For the full description of labels and metadata, check out the <a href="https://github.com/toinfinityai/infinity-datasets/tree/main/smartfacility-inventory-basic" target="_blank">README</a>.

1024 x 728 mp4 videos (100 frames each)
<br>
Total dataset size: 1.3GB
<br>
Zipped file size: 350MB

This dataset is licensed under a <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">Creative Commons Attribution 4.0 International License</a>.
<br>
Both academic and commercial applications are allowed.

<ul>
<li>Github <a href="https://github.com/toinfinityai/infinity-datasets/tree/main/smartfacility-robotics-basic" target="_blank">README</a>: full dataset and annotation descriptions</li>
<li>Demo <a href="https://github.com/toinfinityai/infinity-datasets/blob/main/smartfacility-robotics-basic/quickstart.ipynb" target="_blank">Jupyter notebook</a></li>
</ul>

Questions? We’re happy to chat asynchronously via email or hop on a call. Just send us a note at info@infinity.ai (this goes to all of the Infinity AI founders).