Cloudinary vs dicom vs OpenCV

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

Cloudinary

474
493
+ 1
178
dicom

7
8
+ 1
0
OpenCV

824
864
+ 1
88
Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare.
Learn More
Pros of Cloudinary
Pros of dicom
Pros of OpenCV
  • 38
    Easy setup
  • 30
    Fast image delivery
  • 26
    Vast array of image manipulation capabilities
  • 20
    Free tier
  • 11
    Heroku add-on
  • 9
    Reduce development costs
  • 7
    Amazing support
  • 6
    Virtually limitless scale
  • 6
    Great libraries for all languages
  • 6
    Heroku plugin
  • 5
    Easy to integrate with Rails
  • 4
    Cheap
  • 3
    Shot setup time
  • 3
    Very easy setup
  • 2
    Solves alot of image problems.
  • 1
    Best in the market and includes free plan
  • 1
    Extremely generous free pricing tier
  • 0
    Fast image delivery, vast array
    Be the first to leave a pro
    • 30
      Computer Vision
    • 17
      Open Source
    • 11
      Imaging
    • 9
      Machine Learning
    • 8
      Face Detection
    • 6
      Great community
    • 4
      Realtime Image Processing
    • 2
      Image Augmentation
    • 1
      Helping almost CV problem

    Sign up to add or upvote prosMake informed product decisions

    Cons of Cloudinary
    Cons of dicom
    Cons of OpenCV
    • 2
      Paid plan is expensive
      Be the first to leave a con
        Be the first to leave a con

        Sign up to add or upvote consMake informed product decisions

        - No public GitHub repository available -
        - No public GitHub repository available -

        What is Cloudinary?

        Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery.

        What is dicom?

        It is a golang DICOM image parsing library and command line tool. Its features include parsing and extracting multi-frame DICOM imagery (both encapsulated and native pixel data), exposing a Parser golang interface to make mock-based testing easier for clients etc.

        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.

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

        What companies use Cloudinary?
        What companies use dicom?
        What companies use OpenCV?
          No companies found

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

          What tools integrate with Cloudinary?
          What tools integrate with dicom?
          What tools integrate with OpenCV?

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

          What are some alternatives to Cloudinary, dicom, and OpenCV?
          CloudFlare
          Cloudflare speeds up and protects millions of websites, APIs, SaaS services, and other properties connected to the Internet.
          imgix
          imgix is a real-time image processing service and CDN. Resize, crop, and edit images simply by changing their URLs.
          Amazon S3
          Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
          Akamai
          If you've ever shopped online, downloaded music, watched a web video or connected to work remotely, you've probably used Akamai's cloud platform. Akamai helps businesses connect the hyperconnected, empowering them to transform and reinvent their business online. We remove the complexities of technology, so you can focus on driving your business faster forward.
          Firebase
          Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.
          See all alternatives