Precision vs Recall with an absolute cutoff.

<p>(A) vs averaged over 500 randomly generated images at various simulation times starting with . The numbers indicate cutoff values for a specific data point at the corresponding simulation time. Note the weak dependence on the cutoff. The simulation lengths of (black dots) produces the curve with the best precision and recall combination. (B) vs with different starting values of precision and recall averaged over 100 randomly generated images, but with the same model parameters. Legend indicates the initial . The black dots are the same as in the top panel. Red 's correspond to a lower initial precision (more clutter), compared to the black dots. Blue 's stand for the same initial as black, but with the target partitioned into more shorter segments (a larger number of occlusions). Pink 's correspond to higher initial precision (less clutter), but the clutter elements are longer and harder to suppress.