Fig. 4. Deep learning model performance.

a Evaluating networks using downsampled data, testing on an increasing number of frames (each corresponding to 10 min). The heatmap shows the F1-Score of DinoV2. b Precision, recall, AUC (Area under the curve), and F1-Score of all models over time at full resolution, corresponding to the red dashed rectangle in part a Lines show mean, and shaded areas show standard deviations among the 30 retrainings. c Confusion matrix, performance metrics, and ROC (Receiver Operating Characteristics) curve of the DinoV2 model with the median AUC score among the 30 retrainings, at full resolution, evaluated at the final time (70 min). The figure was created using the open-source software Inkscape and the Python plotting library Matplotlib.