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Google Cloud Vision API

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232
+ 1
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OpenCV

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+ 1
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Google Cloud Vision API vs OpenCV: What are the differences?

Google Cloud Vision API: Understand the content of an image by encapsulating powerful machine learning models. 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; OpenCV: Open Source Computer Vision Library. 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 belongs to "Image Analysis API" category of the tech stack, while OpenCV can be primarily classified under "Image Processing and Management".

Some of the features offered by Google Cloud Vision API are:

  • Powerful Image Analysis
  • Insight From Your Images
  • Detect Inappropriate Content

On the other hand, OpenCV provides the following key features:

  • C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android
  • More than 47 thousand people of user community and estimated number of downloads exceeding 7 million
  • Usage ranges from interactive art, to mines inspection, stitching maps on the web or through advanced robotics

OpenCV is an open source tool with 36.3K GitHub stars and 26.6K GitHub forks. Here's a link to OpenCV's open source repository on GitHub.

According to the StackShare community, OpenCV has a broader approval, being mentioned in 39 company stacks & 39 developers stacks; compared to Google Cloud Vision API, which is listed in 25 company stacks and 8 developer stacks.

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Pros of Google Cloud Vision API
Pros of OpenCV
  • 6
    Built by Google
  • 6
    Image Recognition
  • 33
    Computer Vision
  • 17
    Open Source
  • 11
    Imaging
  • 9
    Machine Learning
  • 9
    Face Detection
  • 6
    Great community
  • 4
    Realtime Image Processing
  • 2
    Image Augmentation
  • 1
    Helping almost CV problem

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What is 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.

What is 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.

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What companies use Google Cloud Vision API?
What companies use OpenCV?
See which teams inside your own company are using Google Cloud Vision API or OpenCV.
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What tools integrate with Google Cloud Vision API?
What tools integrate with OpenCV?
    No integrations found

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    What are some alternatives to Google Cloud Vision API and OpenCV?
    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.
    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’s API enables you to quickly add sophisticated deep learning-based visual search and image classification to your applications.
    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.
    libpng
    It is the official Portable Network Graphics (PNG) reference library. It is a platform-independent library that contains C functions for handling PNG images. It supports almost all of PNG's features, is extensible, and has been widely used and tested.
    EasyOCR
    It is ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai.
    See all alternatives