The CMU CREATE Lab needs volunteers' help to label smoke videos obtained from our monitoring cameras. With sufficient labeled videos and state-of-the-art artificial intelligence, we aim to train a computer system that can detect smoke emissions automatically. A brief introduction about this tool can be found at this video.

The system currently supports Android 7+, iOS 11+, and recent up-to-date desktop browsers. Before you start, note the following characteristics of smoke:

  • Smoke disappears slower than steam.
  • Smoke shows various colors.
  • Smoke has unclear edges.
  • Smoke has various opacities.

We need to label both high and low opacity smoke. High-opacity smoke (the first and second videos below) can block most of the background. For low-opacity smoke (the third and fourth videos below), the background is mostly visible.

Steam disappears faster and has sharp edges when compared to smoke. Steam also has extremely high opacity, which makes its background not visible. Here are examples that show mainly steam, which should not be selected.

Smoke and steam can appear at the same time. Here are examples that show both smoke and steam, which also needs to be selected.

Various bad weather conditions can affect the camera view. Here are examples that show bad weather, which should not be selected.

We need your help to train the computer system to recognize smoke emissions! There are [...] videos in the dataset. Among them, [...] are fully labeled and confirmed by multiple users so far. Also, [...] are partially labeled.

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