Software Alternatives & Reviews

Amazon Rekognition VS CompreFace

Compare Amazon Rekognition VS CompreFace and see what are their differences

Amazon Rekognition logo Amazon Rekognition

Add Amazon's advanced image analysis to your applications.

CompreFace logo CompreFace

CompreFace is a free face recognition service from Exadel that can be easily integrated into any system using simple REST API.
  • Amazon Rekognition Landing page
    Landing page //
    2023-04-18
  • CompreFace Landing page
    Landing page //
    2023-09-24

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

CompreFace videos

No CompreFace videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Amazon Rekognition and CompreFace)
Image Analysis
76 76%
24% 24
Machine Learning
81 81%
19% 19
OCR
69 69%
31% 31
AI
100 100%
0% 0

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 CompreFace

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...

CompreFace Reviews

We have no reviews of CompreFace yet.
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Social recommendations and mentions

Based on our record, Amazon Rekognition seems to be a lot more popular than CompreFace. While we know about 33 links to Amazon Rekognition, we've tracked only 2 mentions of CompreFace. 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 / about 1 month 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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CompreFace mentions (2)

  • Working with facial recognition
    Looking into this I found Compreface (https://exadel.com/solutions/compreface/) an open source face recognition software. There are alread some controb scripts, like contrib/photils.lua, who take some images, run them through a tool, then tag them with data coming from the tool. Converting this to use Compreface looks likea promising avenue. Source: over 1 year ago
  • Interview process
    Does anyone know what the technical interview process for Senior Java position looks like for the company Exadel? Https://exadel.com/. Source: almost 2 years ago
  • Trying to find senior devs
    Exadel - holy heck. They gave us talent for DAYS. Source: almost 2 years ago
  • Best No-Code App Builders
    Serhii Pospielov, AI Practice Head at Exadel, reviewed several no-code app builders from a developer's point of view. He tried to create MVPs on 13 different platforms, but only managed to achieve that on five (this doesn’t mean that the other eight aren’t good platforms – just that they didn’t meet his particular business need). Serhii’s favorite no-code app builders were:. - Source: dev.to / over 2 years ago
  • CompreFace - Free and open-source self-hosted face recognition system
    Free and Open-Source Face Recognition System that can be integrated into any system without prior AI knowledge: https://exadel.com/solutions/compreface/. Source: almost 3 years ago

What are some alternatives?

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

Clarifai - The World's AI

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

OpenCV - OpenCV is the world's biggest computer vision library

Ximilar - Ximilar is a Computer Vision platform that allows you to build and train Deep Learning models for Image Recognition, Detection, and Visual Search. Allows you to download a model for offline usage or connect to them via API.

Kairos - Facial recognition & mood detection API

VISUA - We are the Visual-AI people. Providing industry-leading enterprise computer vision technologies, including Image Recognition, Object & Scene Detection and more. We believe Visual-AI liberates people and brands to do, create and discover more.