Software Alternatives & Reviews

Amazon Rekognition VS SimpleCV

Compare Amazon Rekognition VS SimpleCV and see what are their differences

Amazon Rekognition logo Amazon Rekognition

Add Amazon's advanced image analysis to your applications.

SimpleCV logo SimpleCV

SimpleCV is an open source framework for building computer vision applications.
  • Amazon Rekognition Landing page
    Landing page //
    2023-04-18
  • SimpleCV Landing page
    Landing page //
    2019-02-08

Amazon Rekognition

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

SimpleCV

Categories
  • Image Analysis
  • OCR
  • Machine Learning
  • Data Science And Machine Learning
Website simplecv.org
Details $

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

SimpleCV videos

installation of simplecv

Category Popularity

0-100% (relative to Amazon Rekognition and SimpleCV)
Image Analysis
88 88%
12% 12
Data Science And Machine Learning
Machine Learning
88 88%
12% 12
OCR
79 79%
21% 21

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 SimpleCV

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...

SimpleCV Reviews

7 Best Computer Vision Development Libraries in 2024
BoofCV, SimpleCV, CAFFE, Detectron2, and OpenVINO further contribute to the field of computer vision, each catering to specific needs and applications.
10 Python Libraries for Computer Vision
SimpleCV is designed to simplify computer vision tasks by providing an intuitive interface for image analysis and manipulation. It supports features like image filtering, feature detection, and interactive GUI-based tools for experimentation and visualization.
Source: clouddevs.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
SimpleCV is an open-source framework for building computer vision applications using Python. It provides several tools and interfaces for developing computer vision applications, such as image processing, camera access, and machine learning algorithms. SimpleCV also includes several pre-built modules for tracking, filtering, and segmentation.
Source: www.uubyte.com
5 Ultimate Python Libraries for Image Processing
SimpleCV is a python framework that uses computer vision libraries like OpenCV. This library is quite simple and easy to use and can be really helpful for quick prototyping.

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 / 24 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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SimpleCV mentions (0)

We have not tracked any mentions of SimpleCV yet. Tracking of SimpleCV recommendations started around Mar 2021.

What are some alternatives?

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

Clarifai - The World's AI

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

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

Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.

Kairos - Facial recognition & mood detection API

Trueface Visionbox - Trueface Visionbox is a platform that offers vision solutions to the world by converting the camera into actionable information, and users can easily learn about anything through it.