Semantic Segmentation vs Object Detection – Difference

Image annotation is playing a crucial role in object recognition for computer vision based machine learning algorithm training. There is huge difference between them, as one of them is done for another purpose and we will discuss about both of them.

What is Object Detection in Machine Learning or AI?
The term “object detection” apparently illustrates, any kind of object need to be detected for different types of perception needs. For machines, computer vision based technology is used to recognize the physical objects in an image or video and when such huge amount of labeled or annotated images are used to train an algorithm, a perception model helps to develop the AI based model for predictions in future.
What is Semantic Segmentation in Image Annotation?
Image annotation is the technique of making an object recognizable to machines through computer vision and there are various techniques to annotate such images. Semantic segmentation is one the most popular image annotation technique used to annotate the objects for self-driving car or autonomous vehicles model training.
Semantic segmentation makes multiple objects detectable through instance segmentation helping computer vision to localize the object. It can visualize the different types of object in a single class as a single entity, helping perception model to learn from such segmentation and separate the objects visible in natural surroundings. 
Also Read  : https://www.ifixus.com/2019/08/online-bounding-box-annotation-improve-experience.html
Semantic Segmentation vs Object Detection – Difference
I think now you got some idea how they are different from each other. And if still there is any doubt, let me make you clear - object detection is the process or activity of making physical object recognizable to machines through computer vision.
Whears semantic segmentation is the technique of image annotation to make the different types of objects recognizable through localization, classification and segmentation. You can say object detection is possible with semantic segmentation image annotation process which is done by the experts. 
 
How to get Image Semantic Segmentation for Object Detection?
To get the images annotated with semantic segmentation for object detection you need to find out the right sources, that can provide such labeled data for computer vision. Anolytics is the one of the leading data annotation company, providing the image annotation service for computer vision in machine learning and AI development.
Anolytics is involved in all types of annotation tasks like text annotation, image annotation and video annotation for different types of industries. It is offering image annotation service with all leading techniques like bounding boxes, semantic segmentation, cuboid annotation, landmarking and polylines annotation with accuracy.
Ref.Link : https://www.quora.com/What-is-the-difference-between-semantic-segmentation-and-object-detection/answer/Rayan-Potter
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