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Custom weights

load custom weights from Team Files

Pretrained models

weights pretrained on popular datasets

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Detectron2 provides us Mask R-CNN Instance Segmentation
baselines based on 3 different backbone combinations

FPN: Use a ResNet+FPN backbone with standard conv and FC heads for mask and box prediction, respectively. It obtains the best speed/accuracy tradeoff, but the other two are still useful for research.
C4: Use a ResNet conv4 backbone with conv5 head. The original baseline in the Faster R-CNN paper.
DC5 (Dilated-C5): Use a ResNet conv5 backbone with dilations in conv5, and standard conv and FC heads for mask and box prediction, respectively. This is used by the Deformable ConvNet paper.

more about models
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