Role of image annotator in machine learning.

Original article was published by Nanhe Gujral on Artificial Intelligence on Medium

Role of image annotator in machine learning.

Annotation is a tedious and time-consuming work, it needs highly experienced & professional work-space to create large volumes of annotated data like pictures or images that can be used to train machines and make them functional for AI-based models.

Large Annotation data are Extensively used to train autonomous driving perception models for pedestrians, traffic signs, lane obstacles, etc. For ex: Bounding boxes can be used to annotate various fashion accessories and this is used to train visual search machine learning models.

Collecting labelled data is the key to develop good ML solutions.

Image Annotators perform various annotation/labeling task for machine learning.