This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature Pyramid Network (FPN) and a ResNet101 backbone.
This workflow predict landmark positions on images by using DMBL landmark detection models.
This workflow trains DMBL landmark detection models from a dataset of annotated images.
This workflow predict landmark positions on images by using LC landmark detection models.
This workflow trains LC landmark detection models from a dataset of annotated images.
