What is the Benefits of Contour Annotations While Creating Image Training Data Sets for AI or ML?

Image data sets annotated with Contour annotations definitely have some benefits. Actually, this method of annotation allows you to place contour labels on the contour plots and represent the numerical value of entire contour line. 
 
Contour Annotations Benefits for Image Data Sets
The best part of this tool is output of this tool is a group layer and contains the input contour features, the annotation layers and the mask polygons in images. 
Contours label automatically as a property of the terrain model element. It heps to create a segmented images for deep learning. This annotation helps to reduce the error, hence would be effective in created data sets for AI development in healthcare.
Higher Accuracy for Computer Vision
The accuracy rate with AI or machine learning model trained with Contours is much more higher than other form of image annotation techniques. Though, annotating with Contours is much more difficult and time taking, which can be only done by the highly experienced annotators to ensure the quality of annotation in each image.
Though, for computer vision contour annotation could be the best data labeling process. However, there are multiple types of image annotation techniques, like bounding box, semantic segmentation, polygon annotation and 3D cuboid annotation and landmark annotation or other popular types of image annotation technique. 
 
To improve the image data sets quality, rather then the technique, the accuracy in image annotation service is more important to ensure to train the ML algorithm with best level of accuracy and ensure the right prediction by the model in real-life use.
Anolytics is providing the image annotation services for machine learning and AI-based model developments. It is creating the image data sets for various sectors including healthcare, retail, automotive, autonomous machines and agriculture etc. It is also known for providing the high-quality training data sets at most affordable pricing. 
Location: United States

Comments

  1. Prayan LearningDecember 11, 2019 at 10:07 PM

    Great blog. An important
    image annotationtechnique which outlines the object in the image with a box, for object classification and localization models.

    ReplyDelete

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