How it Works
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​​Trace

Trace features on a few images. Even use tracings you already have.

Train

A deep neural network learns how to recognize what you've traced.
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Apply

Run your model on a new image to detect complex features.

Examples

Detecting grains while ignoring twins has challenged the community for decades.
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Model trained on 25 images in 40 minutes on a GPU.
Applied to new image in 2 seconds.
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Conventional methods struggle with low contrast and noise in these complex features.

Model trained on 16 images in 60 minutes on a GPU.
Applied to new image in 3 seconds.
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Detecting these cells was impossible for traditional approaches, and even some humans.

Model trained on 600 images in 20 hours on a GPU.
Applied to new image in 2 seconds.
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Complex, overlapping nanofiber networks have little contrast with the background.

Model trained on 36 images in 40 minutes on a GPU.
Applied to new image in 1.5 seconds.
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