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Compare scikit-image vs People for AI

scikit-image
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People for AI - Image Recognition Software
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Overview

Description

Scikit-image is a powerful image processing library for Python, built on top of SciPy. It provides a wide range of algorithms for image manipulation and analysis, including filtering, ... Read More

With People for AI, eliminate the tedious task of manually annotating data. This powerful software simplifies the process of labeling mineral and biological data found in microscope images. ... Read More

Entry Level Pricing
  • Not Available
  • Not Available
Free Trial Availability
  • No free trial
  • No free trial
Spotsaas Score

Not Available

7.5/10

User Ratings
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Features

Total Features

7 Features

5 Features

Unique Features
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      Pricing

      Pricing Option
          Starting From
          • Not Available
          • Not Available
          Pricing Pans
          • Not Available
          • Not Available
          Pricing Page

          Pricing information not available

          Pricing information not available

          Other Details

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

          User Ratings

          No Reviews

          No reviews available for the product

          No Reviews

          No reviews available for the product

          Rating Distribution

          No Reviews

          No reviews available for the product

          No Reviews

          No reviews available for the product

          Expert's Review generated by AI

          No Expert ai Review available for the product

          No Expert ai Review available for the product

          Pros and Cons

          Integrations

          Integration with other apps

          No Integration information available.

          No Integration information available.

          Customers

          Customers

          No Customers information available.

          No Customers information available.

          Media and Screenshots

          Screenshots
          scikit-image media

          2 Screenshots

          No screenshots available.

          Videos

          No videos available.

          No videos available.

          Alternatives

          Alternatives

          No Alternative products available.

          Frequently Asked Questions (FAQs)

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

          Neither scikit-image nor People for AI offers a free trial.

          scikit-image is designed for Large Enterprises, Medium Business and Small Business.

          People for AI is designed for Large Enterprises, Medium Business and Small Business.

          Pricing details for both scikit-image and People for AI are unavailable at this time. Contact the respective providers for more information.

          Some top alternatives to scikit-image includes and undefined.

          Some top alternatives to People for AI includes Claro, Amazon Rekognition, Azure Custom Vision Service, Alibaba Image Search, Clarifai, Recognize.im, SentiSight.ai, Cord, d-label and Smart Image Tagger.

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