Is there an OBJECT BASED Image Segmentation method, with pure non-segmented training images?

1. What are the two approaches to segmentation in image processing?
2. What is the main difference between image segmentation and object detection task?
3. What is the difference between semantic segmentation and instance segmentation?
4. What is image segmentation and its types?

What are the two approaches to segmentation in image processing?

Following are the primary types of image segmentation techniques: Thresholding Segmentation. Edge-Based Segmentation.

What is the main difference between image segmentation and object detection task?

So, the difference between instance segmentation and object detection techniques is that object detectors only detect objects in images. Conversely, instance segmentation solutions provide a fine-grained understanding of image data by defining and classifying each instance present in visual input.

What is the difference between semantic segmentation and instance segmentation?

In other words, semantic segmentation treats multiple objects within a single category as one entity. Instance segmentation, on the other hand, identifies individual objects within these categories. To achieve the highest degree of accuracy, computer vision teams must build a dataset for instance segmentation.

What is image segmentation and its types?

Image segmentation is a method of dividing a digital image into subgroups called image segments, reducing the complexity of the image and enabling further processing or analysis of each image segment.