Smart Facility

Spills Basic Dataset

An open-source synthetic vision dataset for safety applications.

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The SafeVision Spills dataset is a synthetic, open-source dataset for safety applications. It features 150 videos of photorealistic liquid spills across 15 common settings. Spills take on in-context reflections, caustics, and depth based on the surrounding environment, lighting, and floor. Each video contains a spill of unique properties (size, color, profile, and more) and is accompanied by pixel-perfect labels and annotations. This dataset can be used to develop computer vision algorithms to detect the location and type of spill from the perspective of a fixed camera.


<li>150 videos</li>
<li>4 environments where spills commonly occur</li>
<li>15 unique indoor scenes</li>
<li>Realistic spill appearance</li>
<li>Diverse variation in spill geometry</li>
<li>Multiple spill colors</li>
<li>Rich annotations</li>


Each video is accompanied by a rich set of pixel-perfect labels and annotations, including:
<li>Spill characteristics (size, color, profile, depth, etc.)</li>
<li>Segmentation masks</li>
<li>Bounding boxes</li>
For the full description of labels and metadata, check out the <a href="" target="_blank">README</a>.


Total dataset size: 890MB
All 150 videos are contained in a single zipped folder (560MB).
Video resolutions (all mp4):
<li>960 x 720 at 24fps</li>
<li>960 x 640 at 24fps</li>
<li>960 x 637 at 24fps</li>
<li>960 x 384 at 24fps</li>


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


<li>Github <a href="" target="_blank">README</a>: full dataset and annotation descriptions</li>
<li>Demo <a href="" target="_blank">Jupyter notebook</a></li>

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

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