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Compare pixolution flow vs Amazon Rekognition

Overview

Key features

Pricing

Other Details

User reviews

Integratons

Media & Screenshots

Alternatives

pixolution flow - Image Recognition Software

pixolution flow

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Amazon Rekognition - Image Recognition Software

Amazon Rekognition

(27)
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Overview
Affiliate Disclosure

Description

The pixolution flow is advanced image recognition software that enables to search, browse and view photos using an intuitive visual interface. It automatically detects face and scene ... Read More

Amazon Rekognition is a simple and easy way to add powerful image recognition capabilities to apps. Amazon Rekognition detects objects, scenes, faces, and products in images and video, user ... Read More

Entry Level Pricing
  • Not Available
  • Starts from $0.10
Free Trial Availability
  • No free trial
  • No free trial
Spotsaas Score

8.2/10

9.1/10

User Ratings

4.4

(47)
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Software Demo

Demo

pixolution flow has not given any software demo yet

If you're the owner of this profile, add your demo.Contact us

Features

Total Features

6 Features

10 Features

Unique Features
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      Pricing

      Pricing Option
          Starting From
          • Not Available
          • $0.10
          Pricing Plans
          • Not Available
          • Not Available
          View detailed pricing
          View detailed pricing

          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
          • Available
          • Available
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          User Reviews

          User Ratings

          No reviews available for the product

          4.4

          (based on 47 reviews)
          Rating Distribution

          No reviews available for the product

          Excellent

          20

          Very Good

          6

          Good

          0

          Poor

          1

          Terible

          0

          Expert's Review generated by AI

          No Expert ai Review available for the product

          Amazon Rekognition stands out for its robust image and video analysis capabilities. Users appreciate its accurate identification of objects, scenes, and faces, empowering them with advanced ...Read more

          Pros and Cons

          • Efficient in accurately identifying objects, scenes, faces, and activities in images and videos, enabling powerful content analysis and search functionalities.

          • Integration with other AWS services and ease of use through APIs, making it an efficient tool for developers and businesses.

          • Versatile and valuable in analyzing and identifying various elements in images and videos.

          • Straightforward to use, provides video analytics output visually, and offers easy implementation.

          • The richness of features and customizations might be overwhelming and complex for newcomers without adequate support or guidance.

          • Limited selection in the Marketplace for additional apps and connectors may restrict advanced functionalities and integrations.

          Positive Reviews

          No reviews available for the product

          No reviews available for the product

          Read reviews

          Customers

          Customers
          Adobe

          Adobe

          mainstream

          mainstream

          netx

          netx

          CBS

          CBS

          National Geographic

          National Geographic

          NFL

          NFL

          Media and Screenshots

          Screenshots

          No screenshots available.

          Detect analyze faces

          3 Screenshots

          Videos

          No videos available.

          video-0

          2 Videos

          Alternatives

          Alternatives
          Clarifai - Image Recognition Software
          Clarifai

          4.3

          Roboflow Organize - ETL Tools
          Roboflow Organize
          Ximilar - Image Recognition Software
          Ximilar
          Microsoft Computer Vision API - Image Recognition Software
          Microsoft Computer Vision API

          4

          Azure Custom Vision Service - Image Recognition Software
          Azure Custom Vision Service

          4.3

          Azure Face API - Image Recognition Software
          Azure Face API

          4

          Frequently Asked Questions (FAQs)

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

          Neither pixolution flow nor Amazon Rekognition offers a free trial.

          pixolution flow is designed for Individuals, Medium Business and Small Business.

          Amazon Rekognition is designed for Large Enterprises, Medium Business and Small Business.

          The starting price of Amazon Rekognition begins at $0.10, while pricing details for pixolution flow are unavailable.

          Some top alternatives to pixolution flow includes Clarifai, Roboflow Organize, Ximilar, Imaginator, PicUP.AI, ImageEdit.AI, FilterPixel and Smart Image Tagger.

          Some top alternatives to Amazon Rekognition includes Microsoft Computer Vision API, Azure Custom Vision Service, Azure Face API, Clarifai, Vize.ai, MobileEngine, Recognize.im, FaceX and SentiSight.ai.

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

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