The first Docker images are available for the YOLACT (You Only Look At CoefficienTs) image segmentation model, using the 1.2 release:
YOLACT/YOLACT++, like MMDetection, is based on PyTorch. In contrast to MMDetection it is not a divers framework, but just a single model, which can make use of various base models (e.g., ResNet50). Similar to Mask R-CNN, it generates a mask with probabilities for each identified object, which requires post-processing to determine a polygon or minimal rectangle. However, it is much faster than the Mask R-CNN implementation that TensorFlow's Object Detection API offers (roughly 3x faster on 1000x300 images).