Software Alternatives, Accelerators & Startups

Sift VS Amazon Rekognition

Compare Sift VS Amazon Rekognition and see what are their differences

Sift logo Sift

Digital Trust & Safety enables your business to grow, innovate, introduce new products, features, and business models – without increased risk.

Amazon Rekognition logo Amazon Rekognition

Add Amazon's advanced image analysis to your applications.
  • Sift Landing page
    Landing page //
    2023-04-30
  • Amazon Rekognition Landing page
    Landing page //
    2023-04-18

Sift

Website
sift.com
Release Date
2011 January
Startup details
Country
United States
State
California
Founder(s)
Brandon Ballinger
Employees
100 - 249

Sift videos

🙀 Review - Scoopless Lift and Sift Cat Litter Box I Modified it after One Week of Usage

More videos:

  • Review - REVIEW: Sift And Lift Litter Box / Best Clean Cat Litter Sand
  • Review - U.S. Army aviation - SIFT Test Preparation - Army Selection Instrument for Flight Testing

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

Category Popularity

0-100% (relative to Sift and Amazon Rekognition)
Fraud Prevention
100 100%
0% 0
Image Analysis
0 0%
100% 100
eCommerce
100 100%
0% 0
OCR
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 Sift and Amazon Rekognition

Sift Reviews

We have no reviews of Sift yet.
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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...

Social recommendations and mentions

Based on our record, Amazon Rekognition seems to be a lot more popular than Sift. While we know about 33 links to Amazon Rekognition, we've tracked only 3 mentions of Sift. 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.

Sift mentions (3)

  • Warning about centre com
    They may be using something like Sift for security checking and something of yours was flagged. Source: over 1 year ago
  • Does this idea exist? Thought? Any legal implications?
    But sorry to break it to you, this has been done at a really large scale already although most consumers are not aware. One big player here is https://sift.com/ Almost every major retailer uses their service exactly for the reasons you mention. Source: almost 3 years ago
  • LPT: You have a secret 'consumer score' that acts like your credit score; You can be denied the ability to return products, charged higher prices than other people, and more, all based on this score.
    Reddit, for one. A pretty big list on their homepage. Source: almost 3 years ago

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 / 2 months 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 / 11 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: 11 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 / about 1 year 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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What are some alternatives?

When comparing Sift and Amazon Rekognition, you can also consider the following products

Kount - eCommerce fraud detection & prevention

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

Riskified - eCommerce fraud prevention solution and chargeback protection guarantee for online merchants. Find out how we can help your company boost revenue from online sales using our machine-learning powered eCommerce fraud protection software.

Clarifai - The World's AI

Signifyd - Signifyd is a SaaS-based, enterprise-grade fraud technology solution for e-commerce stores.

Kairos - Facial recognition & mood detection API