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使用keras版本的Mask-RCNN来训练自己的数据，通过代码把样本制作麻烦的步骤变成简单方便。

Implementation of Mask-RCNN for detecting and segmenting damaged areas in car images for the purpose of damage assessment.

This repository is an integration of Mask RCNN (object detection and segmentation) and ROS to implement automated pick and place operation using the UR10 robot arm.

Pothole detection via Mask Rcnn

inference mask_rcnn model with tensorflow c++ api

根据Pytorch官方教程实现 Mask-RCNN，其 backbone为ResNet50+FPN。现在完成了对于示例数据集的训练，后续会继续修改，实现其他的功能。

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Reference implementation of "Faster Training of Mask R-CNN by Focusing on Instance Boundaries"

Mask R-CNN for object detection and instance segmentation on Keras==2.7.0 and TensorFlow==2.7.0

Example notebooks on building PyTorch, preparing data and training as well as an updated project from a PyTorch MaskRCNN port