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Compare SuperAnnotate vs V7 Darwin

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V7 Darwin - Machine Learning Software
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Overview

Description

SuperAnnotate is an agile platform designed for rapid deployment of relevant business tasks. It employs professionally managed and trained annotation teams to provide the necessary accuracy ... Read More

The Darwin Platform from V7 laboratories streamlines the annotation process with automated picture annotation and neural network training. With active learning, 10x faster labeling with ... Read More

Entry Level Pricing
  • Starts from $62 , Billed Yearly
  • Starts from $150
Free Trial Availability
  • No free trial
  • No free trial
User Ratings

4.8

(22)

4.9

(21)
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Software Demo

Demo

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Features

Total Features

9 Features

0 Features

Unique Features

    No features

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    Pricing

    Pricing Option
        Starting From
        • $62 , Billed Yearly
        • $150
        Pricing Plans
        • Free

          • Number of users: Up to 5

          • Number of images: Up to 100

          • Pixel Editor

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        • Starter

          • Number of users: Up to 5

          • Number of images: Up to 10000

          • Pixel Editor

          Show more +

        • Pro

          • Number of users: Unlimited

          • Number of images: Unlimited

          • Pixel Editor

          Show more +

        • Browse all pricing plans
        • Not Available

        Other Details

        Organization Types supported
        • Medium Business
        • Large Enterprises
        • Small Business
        • Freelancers
        • Individuals
        • Medium Business
        • Large Enterprises
        • Small Business
        • Freelancers
        • Individuals
        Platforms Supported
        • Browser Based (Cloud)
        • Browser Based (Cloud)
        • Browser Based (Cloud)
        • Browser Based (Cloud)
        Modes of support
        • 24/7 (Live rep)
        • Business Hours
        • Online
        • 24/7 (Live rep)
        • Business Hours
        • Online
        API Support
        • Not Available
        • Available
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        User Reviews

        User Ratings

        4.9

        (based on 21 reviews)

        Rating Distribution

        Excellent

        138

        Very Good

        5

        Good

        0

        Poor

        1

        Terible

        0

        Excellent

        0

        Very Good

        0

        Good

        0

        Poor

        0

        Terible

        0

        Positive Reviews

        No reviews available for the product

        No reviews available for the product

        Negative Reviews

        No reviews available for the product

        No reviews available for the product

        Customers

        Customers
        The Kobi

        The Kobi

        Cogito

        Cogito

        Acme

        Acme

        No Customers information available.

        Media and Screenshots

        Screenshots
        Manual annotation process

        4 Screenshots

        No screenshots available.

        Videos
        video-0

        3 Videos

        video-0

        3 Videos

        Frequently Asked Questions (FAQs)

        Stuck on something? We're here to help with all the questions and answers in one place.

        Neither SuperAnnotate nor V7 Darwin offers a free trial.

        SuperAnnotate is designed for Large Enterprises, Medium Business and Small Business.

        V7 Darwin is designed for Large Enterprises, Medium Business and Small Business.

        Pricing for SuperAnnotate Starts at $62/User/Month when Billed Yearly whereas for V7 Darwin Starts at $150/Month.

        Some top alternatives to SuperAnnotate includes IBM Cloud Annotations, Anolytics, V7 Darwin, Qualified, Good Annotations, Workvivo, Navan.ai, Datature, GAannotations, Cord, Keylabs and Cloudfactory.

        Some top alternatives to V7 Darwin includes Amazon Personalize, Roboflow Organize, Databolt, Datature, TrainingData.io, Cord, Keylabs, Labelbox, SuperAnnotate and d-label.

        Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].