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Amazon Rekognition

Image Detection and Recognition Powered by Deep Learning
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What is Amazon Rekognition?

Amazon Rekognition is a service that makes it easy to add image analysis to your applications. With Rekognition, you can detect objects, scenes, and faces in images. You can also search and compare faces. Rekognition鈥檚 API enables you to quickly add sophisticated deep learning-based visual search and image classification to your applications.
Amazon Rekognition is a tool in the Image Analysis API category of a tech stack.

Who uses Amazon Rekognition?

12 companies reportedly use Amazon Rekognition in their tech stacks, including Flitto,, and ALIS.

36 developers on StackShare have stated that they use Amazon Rekognition.
Pros of Amazon Rekognition
Public Decisions about Amazon Rekognition

Here are some stack decisions, common use cases and reviews by companies and developers who chose Amazon Rekognition in their tech stack.

Sitati Kituyi
Sitati Kituyi
at AfricanStockPhoto | 1 upvotes 3.8K views

The brains behind our auto-tagging - we can automatically detect contents of images using this Amazon Rekognition

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Amazon Rekognition Alternatives & Comparisons

What are some alternatives to Amazon Rekognition?
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.
Google Cloud Vision API
Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API.
Tesseract OCR
Tesseract was originally developed at Hewlett-Packard Laboratories Bristol and at Hewlett-Packard Co, Greeley Colorado between 1985 and 1994, with some more changes made in 1996 to port to Windows, and some C++izing in 1998. In 2005 Tesseract was open sourced by HP. Since 2006 it is developed by Google.
This library supports over 60 languages, automatic text orientation and script detection, a simple interface for reading paragraph, word, and character bounding boxes. Tesseract.js can run either in a browser and on a server with NodeJS.
See all alternatives

Amazon Rekognition's Followers
75 developers follow Amazon Rekognition to keep up with related blogs and decisions.
Nisha Gupta
Faisal Ghias
Manmohan Krishna
Praveen Jayanna
karen a.b
Dr Norman Poh
Raaj Mahadev Pareet
Fat Panda Koala
Satish Kumar