Neural Network Pre-trained Models

Here, we’re releasing some pre-trained neural network models. These models are trained on different subsets of our single mouse tracking training data found here.

The code used to train the models as well as to run inferences is located on our github here.

The pre-trained models can be found at this Download Link.

Model Descriptions

AllCoatColor_RegularOFA

This is the network we use for the strain survey. It has been trained on single mice images of varying coat colors inside an open field arena with a white background and grey walls.

24Hr_OFA

This network we applied transfer learning of the first model (AllCoatColor_RegularOFA) to fine tune the model onto a new arena. The new arena contains bedding and a food cup.

KOMP_OFA

This network was trained from scratch on a much more difficult arena. This environment contains reflections, non-uniform lighting, and high variability.

FullModel

This network is trained on all of the above datasets.

NoHardFrames_FullModel

While training our initial models and inferring on big datasets, we found difficult frames and incorporated them into our annotated dataset. To compare the influence of these frames, we trained a separate model without them in the training set.

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