Your personal data shared with us through this form will only be used for the intended purpose. The data will be protected and will not be shared with any third party.
Semantic segmentation is a pixel level annotation task. The objects are segmented individually and classified as per the class labels. Since it’s done at the pixel level the time consumption is more but at the same time it gives deep predictions. The deep learning model is widely used for autonomous vehicle, object classification etc.
Some of the examples of segmentation are cars, traffic lights, road signs, pedestrians, objects in a house, factory etc.
Landmark annotation is annotating key points on an object, face or locations. It’s widely used for face recognition and gesture controls. By drawing sequence of points we can determine the shape, size etc.
As the name implies Image Masking is shading some portion of the object of the image to classify. This can be done using layer masking technique also. By using Opacity we can make changes in the layers of the images. This technique can be used to simply hide unwanted content in an image, highlight the key points and enhance the image quality.