Semantic Segmentation Annotation, Landmark Annotation & Image Masking Services

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Semantic Segmentation Annotation

Semantic segmentation Annotation 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.

semantic segmentation for Computer Vision

Semantic Segmentation Annotation

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Landmark Annotation

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.

Point Facial Landmark Annotation

Point Facial
Landmark Annotation

Hand Gesture Landmark Annotation

Hand Gesture
Landmark Annotation

Point Annotation for AI

Point Annotation
for AI


Image Masking Annotation

As the name implies Image Masking Annotation 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.


Image Masking

Image Masking

Background Removal

Background Removal

Anonymizer

Anonymizer

Infosearch offers outsourcing of various data annotation services for computer vision & deep learning. Contact us to discuss more.

Semantic Segmentation Annotation For Machine Learning





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