Infinity Spills Basic Dataset

Infinity AI's Spills Basic 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.

Key Features

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

Annotations

Each video is accompanied by a rich set of pixel-perfect labels and annotations, including:

• Spill characteristics (size, color, profile, depth, etc.)
• Segmentation masks
• Bounding boxes

For the full description of labels and metadata, check out the README.

File Size

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

Resources

• Github README: full dataset and annotation descriptions
• Demo Jupyter notebook: Shows how to (1) filter/query the dataset based on metadata, and (2) how to visualize labels
• Questions? We’re happy to chat asynchronously via email or hop on a call. Just send us a note at info@toinfinity.ai (this goes to all of the Infinity AI founders).

Terms and Conditions

This work is licensed under a Creative Commons Attribution 4.0 International License. Both academic and commercial applications are allowed.

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Infinity AI, the creator of this dataset, is a synthetic data company. You can download all of Infinity's synthetic datasets and APIs at the Infinity Marketplace. Feel free to get in touch in you want custom data, or want to book a scoping session on how to make synthetic data your competitive edge.

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