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SuperAnnotate: Image Annotation Platform with Vahan and Tigran Petrosyan
Media Type |
audio
Categories Via RSS |
Technology
Publication Date |
Aug 19, 2020
Episode Duration |
00:54:55

Image annotation is necessary for building supervised learning models for computer vision. An image annotation platform streamlines the annotation of these images. Well-known annotation platforms include Scale AI, Amazon Mechanical Turk, and Crowdflower. There are also large consulting-like companies that will annotate images in bulk for you. If you have an application that requires lots

The post SuperAnnotate: Image Annotation Platform with Vahan and Tigran Petrosyan appeared first on Software Engineering Daily.

Image annotation is necessary for building supervised learning models for computer vision. An image annotation platform streamlines the annotation of these images. Well-known annotation platforms include Scale AI, Amazon Mechanical Turk, and Crowdflower. There are also large consulting-like companies that will annotate images in bulk for you. If you have an application that requires lots

Image annotation is necessary for building supervised learning models for computer vision. An image annotation platform streamlines the annotation of these images. Well-known annotation platforms include Scale AI, Amazon Mechanical Turk, and Crowdflower.

There are also large consulting-like companies that will annotate images in bulk for you. If you have an application that requires lots of annotation, such as self-driving cars, then you might be compelled to outsource this annotation to such a company.

SuperAnnotate is an image annotation platform that can be used by these image annotation outsourcing firms. This episode explores SuperAnnotate, and the growing niche of image annotation. Vahan and Tigran Petrosyan are the founders of SuperAnnotate, and join the show for today’s interview.

Sponsorship inquiries: sponsor@softwareengineeringdaily.com

The post SuperAnnotate: Image Annotation Platform with Vahan and Tigran Petrosyan appeared first on Software Engineering Daily.

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