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.
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.
Collecting labelled data is the key to develop good ML solutions.
Image Annotators perform various annotation/labeling task for machine learning.
Some task includes:
Bounding box,
Cuboids
Polygons
Polylines
Landmarks
Semantic Segmentation.
Various Classifications.
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