NESNE TESPİTİ VE TANIMA DAHA HIZLI R-CNN KULLANARAK RGBD GÖRÜNTÜLERİ

The process of splitting the image into many segments can be called as image segmentation. The main aim of this process is to recognize the object in an image. Let's take an example a person wants to cross the road the first thing he'll do is he'll look at his right side first then left. If no vehicle is coming then the person will try to cross the road apart from that, this person will also check whether there is any electric poll or dog or is there any whole in the ground etc. The point is we're doing object detection first then we're crossing the road. Same thing we'll train our machine to do but it can't recognize directly the way humans do. We have to train the model first for that we're doing image segmentation. This step is typically used to recognize the objects or other relevant information.