Test task: MAFA

1. Set the crop size and anchor matching IoU threshold according to

the number of faces per image in the dataset: larger crop sizes and
higher IoU thresholds for datasets with more faces per image, and
smaller crop sizes and lower IoU thresholds for datasets with fewer
faces per image.

2. Set the location loss weight according to the presence of facial
landmarks in the dataset: higher weights for datasets with facial
landmarks, and lower weights for datasets without facial landmarks.

3. Set the negative to positive ratio according to the difficulty of

the dataset: higher ratios for datasets with more challenging
scenarios (e.g. weather-based degradations, motion blur, focus blur).

4. Set the learning rate and optimizer according to the size of the

dataset: lower learning rates and optimizers such as Adam or SGD for
datasets with more images.

Test task: PASCAL VOC

1. Set the crop size according to the number of faces in the dataset:
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