Software Alternatives & Reviews

Amazon Rekognition VS Flagship.io

Compare Amazon Rekognition VS Flagship.io and see what are their differences

Amazon Rekognition logo Amazon Rekognition

Add Amazon's advanced image analysis to your applications.

Flagship.io logo Flagship.io

Feature Flag as a Service - Separate code deployments from feature releases to speed up development cycles, mitigate risks and release safely.
  • Amazon Rekognition Landing page
    Landing page //
    2023-04-18
  • Flagship.io Landing page
    Landing page //
    2023-05-09

Flagship.io is a feature flagging platform for modern engineering and product teams that eliminates the risks of future releases by separating code deployments from these releases. With Flagship.io, we push the concept of feature flags to the next level giving you full control over the release process. With Flagship.io, you can:

  • Switch features on or off through remote config.
  • Separate code deployments from future releases.
  • Automatically roll-out your features gradually.
  • Roll back any feature should any issues arise.
  • Segment users by granting access to a feature based on certain user attributes.
  • Carry out A/B tests by easily assigning feature variations to groups of users.

Amazon Rekognition

Categories
  • Image Analysis
  • Machine Learning
  • Data Dashboard
  • AI
  • OCR
  • OCR API
Website aws.amazon.com
Pricing URL-
Details $-
Platforms
-

Flagship.io

Categories
  • Feature Flags
  • Feature Toggles
  • A/B Testing
  • Continuous Integration And Delivery
  • Product Deployment
  • Release Management
  • Remote Config
Website flagship.io
Pricing URL Official Flagship.io Pricing
Details $freemium
Platforms
Browser Android iOS Cross Platform

Amazon Rekognition features and specs

No features have been listed yet.

Flagship.io features and specs

  • API: Yes
  • SDKs: Yes
  • Targeting Segments: Yes
  • Dashboards: Yes
  • Analytics and Reporting: Yes
  • Role Based Access Control: Yes
  • Data Import/Export: Yes
  • Free Trial: Yes
  • GDPR Compliant: Yes

Amazon Rekognition videos

AWS Rekognition Tutorial | Image Recognition using AWS | Amazon Rekognition | AWS Training | Edureka

More videos:

  • Review - Extract Data from Images and Videos with Amazon Rekognition (Level 300)
  • Demo - Can Amazon's Facial Recognition identify my 15 years younger picture? | Amazon Rekognition Demo

Flagship.io videos

Video Feature Flag and Experimentation

Category Popularity

0-100% (relative to Amazon Rekognition and Flagship.io)
Image Analysis
100 100%
0% 0
Feature Flags
0 0%
100% 100
Machine Learning
100 100%
0% 0
Release Management
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Amazon Rekognition and Flagship.io

Amazon Rekognition Reviews

2019 Examples to Compare OCR Services: Amazon Textract/Rekognition vs Google Vision vs Microsoft Cognitive Services
Pricing: Amazon Rekognition, Amazon Textract, Google, Microsoft. We don't really care which one you use, but Microsoft did best by our sample data. Textract was a very close second if you only need its headline feature: extracting text from digital documents. If someone wants to email bill -at- amplenote.com with comparable data for other images/services, I can try to...

Flagship.io Reviews

We have no reviews of Flagship.io yet.
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Social recommendations and mentions

Based on our record, Amazon Rekognition seems to be more popular. It has been mentiond 33 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Amazon Rekognition mentions (33)

  • Afraid of outgrowing AWS Rekognition? Try YOLO in Lambda.
    AWS Rekognition is a great choice for many types of real-world projects or just for testing an idea on your images. The issue eventually comes with its cost, unfortunately, which we will see later in a specific example. Don’t get me wrong, Rekognition is a great service and I love to use it for its simplicity and reliable performance on quite a few projects. - Source: dev.to / 23 days ago
  • Amazon Rekognition Custom Labels for Bears
    I don’t really want to spend so much time manually adjusting labels. For most machine learning, the next step would be to fine tune your model. You can essentially fine tune Amazon Rekognition by using Custom Labels. You can do this to make it better at detecting specific objects (like bears) or train it to detect new objects like your product or logo. It really depends on your application needs. - Source: dev.to / 9 months ago
  • “During a gold rush, sell shovels.” What are the shovels in the AI rush?
    For instance, are you a company with lots of security cameras? Hire me to write a program that pipes your data into AWS rekognition and then shows you a dashboard of what happened on your cams today. Got a ton of products with no meta-description? Hire me to write a program that pipes your data into OpenAI, and then saves the generated description to your custom CMS. Source: 10 months ago
  • Serverless Facial Recognition Voting Application Using AWS Services
    Amazon Rekognition: Used to index, detect faces in the picture, and compare faces when users try voting, it was the heart of the facial voting feature. - Source: dev.to / 12 months ago
  • Amazon Prime Video playback features
    Sure. But if you think generating thumbnails and detecting intros/credits takes a long time, wait until your computer is running machine learning/computer vision over your entire library. They also have to build and train that model which is no trivial task. And I know what you're thinking, why don't they just use Amazon's Rekognition service that does celebrity identification? Well, it's $0.10 per minute of... Source: about 1 year ago
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Flagship.io mentions (0)

We have not tracked any mentions of Flagship.io yet. Tracking of Flagship.io recommendations started around Jul 2021.

What are some alternatives?

When comparing Amazon Rekognition and Flagship.io, you can also consider the following products

Clarifai - The World's AI

Flagsmith - Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source.

Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.

ConfigCat - ConfigCat is a developer-centric feature flag service with unlimited team size, awesome support, and a reasonable price tag.

Kairos - Facial recognition & mood detection API

LaunchDarkly - LaunchDarkly is a powerful development tool which allows software developers to roll out updates and new features.