Amazon Rekognition聽vs聽TensorFlow

Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Amazon Rekognition
Amazon Rekognition

46
57
+ 1
2
TensorFlow
TensorFlow

1.6K
1.6K
+ 1
70
Add tool
- No public GitHub repository available -

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.

What is TensorFlow?

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.
Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Why do developers choose Amazon Rekognition?
Why do developers choose TensorFlow?

Sign up to add, upvote and see more prosMake informed product decisions

    Be the first to leave a con
    What companies use Amazon Rekognition?
    What companies use TensorFlow?

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Amazon Rekognition?
    What tools integrate with TensorFlow?
      No integrations found

      Sign up to get full access to all the tool integrationsMake informed product decisions

      What are some alternatives to Amazon Rekognition and TensorFlow?
      OpenCV
      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.
      Tesseract.js
      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.
      scanR
      scanR is a simple OCR API service that supports 32 languages and can extract text from images or PDF files.
      See all alternatives
      Decisions about Amazon Rekognition and TensorFlow
      Conor Myhrvold
      Conor Myhrvold
      Tech Brand Mgr, Office of CTO at Uber | 6 upvotes 642.8K views
      atUber TechnologiesUber Technologies
      TensorFlow
      TensorFlow
      Keras
      Keras
      PyTorch
      PyTorch

      Why we built an open source, distributed training framework for TensorFlow , Keras , and PyTorch:

      At Uber, we apply deep learning across our business; from self-driving research to trip forecasting and fraud prevention, deep learning enables our engineers and data scientists to create better experiences for our users.

      TensorFlow has become a preferred deep learning library at Uber for a variety of reasons. To start, the framework is one of the most widely used open source frameworks for deep learning, which makes it easy to onboard new users. It also combines high performance with an ability to tinker with low-level model details鈥攆or instance, we can use both high-level APIs, such as Keras, and implement our own custom operators using NVIDIA鈥檚 CUDA toolkit.

      Uber has introduced Michelangelo (https://eng.uber.com/michelangelo/), an internal ML-as-a-service platform that democratizes machine learning and makes it easy to build and deploy these systems at scale. In this article, we pull back the curtain on Horovod, an open source component of Michelangelo鈥檚 deep learning toolkit which makes it easier to start鈥攁nd speed up鈥攄istributed deep learning projects with TensorFlow:

      https://eng.uber.com/horovod/

      (Direct GitHub repo: https://github.com/uber/horovod)

      See more
      Interest over time
      Reviews of Amazon Rekognition and TensorFlow
      No reviews found
      How developers use Amazon Rekognition and TensorFlow
      Avatar of AfricanStockPhoto
      AfricanStockPhoto uses Amazon RekognitionAmazon Rekognition

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

      Avatar of Eliana Abraham
      Eliana Abraham uses TensorFlowTensorFlow

      Machine Learning in EECS 445

      Avatar of Taylor Host
      Taylor Host uses TensorFlowTensorFlow

      Pilot integration for retraining.

      How much does Amazon Rekognition cost?
      How much does TensorFlow cost?
      Pricing unavailable
      Pricing unavailable