What is the role of image annotators in machine learning?

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.

For more information get in touch

with PBS data labeling Services

www.pbsdatalabelingservices.co

What is the pricing for data labeling and annotations?

Every company has its own way of pricing. Most companies in data labeling and annotation services offer two types of pricing :

1. Hourly Rate
2. Per task rate (per/bounding box, per/polygon, per/image etc)

Pricing are higher in US, Europe and Middle East as compared to Asia.

If you outsource to companies in Asia you definitely get some cost benefits.

You can get in touch with us - PBS data labeling services A low cost data labeling company based in India.

PBS Data labeling services

www.pbsdatalabelingservices.co