Image segmentation can be largely improved by integrating neural network models with image processing tools like grab-cut algorithm Segmentation can be made much easier using mask R-CNN since it automatically develops a pixel-wise mask around the subject of an image. Thereby separating the foreground from the background.Mask R-CNN is a widely used deep learning for training and testing datasets and models. The goal is to use the neural network model to obtain better segmentation.
• OpenCv • Numpy • Pandas • TensorFlow • Keras!
