Extended Data Fig. 3. Troubleshooting workflows.

a, Schematics of starting stage workflows. Before the first training round, it is important to select the appropriate model type and adjust basic training parameters as needed. b, Schematics of early stage workflows. Poor performance is expected with few labeled frames, but certain types of errors may be mitigated by adjusting basic model parameters, such as receptive field size. c, Schematics of late stage workflows. Fine tuning performance once enough frames are labeled may be accomplished by trading off speed for accuracy, such as by increasing the resolution of the model features.