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. 2021 Sep 2;10:e63377. doi: 10.7554/eLife.63377

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© 2021, Bohnslav et al

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

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Figure 1. — (A) Workflows for supervised behavior labeling. Left: a common traditional approach based on manual labeling. Middle: workflow with DeepEthogram. Right: Schematic of expected scaling of user time for each workflow. (B) Ethogram schematic. Top: example images from Mouse-Ventral1 dataset. Bottom: ethogram with human labels. Dark colors indicate which behavior is present. Example shown is from Mouse-Ventral1 dataset. Images have been cropped, brightened, and converted to grayscale for clarity. (C) DeepEthogram-fast model schematic. Example images are from the Fly dataset. Left: a sequence of 11 frames is converted into 10 optic flows. Middle: the center frame and the stack of 10 optic flows are converted into 512-dimensional representations via deep convolutional neural networks (CNNs). Right: these features are converted into probabilities of each behavior via the sequence model.

Figure 1—figure supplement 1. — (A) Workflows for supervised behavior labeling. Left: a common traditional approach based on manual labeling. Middle: workflow with DeepEthogram. Right: Schematic of expected scaling of user time for each workflow. (B) Ethogram schematic. Top: example images from Mouse-Ventral1 dataset. Bottom: ethogram with human labels. Dark colors indicate which behavior is present. Example shown is from Mouse-Ventral1 dataset. Images have been cropped, brightened, and converted to grayscale for clarity. (C) DeepEthogram-fast model schematic. Example images are from the Fly dataset. Left: a sequence of 11 frames is converted into 10 optic flows. Middle: the center frame and the stack of 10 optic flows are converted into 512-dimensional representations via deep convolutional neural networks (CNNs). Right: these features are converted into probabilities of each behavior via the sequence model.