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"Google Cloud Vision paves the way for amazing future developments in cloud-platform IoT."
Jay A. - Institute DirectorJuly 18, 2019
STARTING PRICE
$3.15
usage based
EASE OF USE
4.1/5
Based on Capterra user reviews
Detect and classify multiple objects, images, and more using Google Cloud's pre-trained Vision API or custom trained Vision AutoML. Google Cloud's Vision AI helps developers easily leverage the power of machine learning to understand images with industry-leading prediction accuracy.
Provider
Located In
United States
Open API
No
Deployment
Cloud, SaaS, Web-Based
Training
Live Online, Webinars, Documentation, Videos
Support
Knowledge Base, Email/Help Desk, FAQs/Forum, Phone Support, Chat
For developers with limited machine learning backgrounds looking to add AI to their applications.
Content Source: Google Cloud Vision API
Green rating bars show the winning product based on the average rating and number of reviews.
Google Cloud Vision API Reviews
Pros
Very easy and user friendly great for people in my field.
The prospects for this Google Cloud Platform software product are magnificent to the layperson, and to developers, alike, who aspire to create rich deliverables in user experience.
The software helps save the work and progress when doing the work or schooling.
I like that it allows me with ease to integrate vision detection features with in aps.
Cons
This one is no different - providing simple solutions to complicated problems.
I have faced problems in setting up this custom/user-defined model; the lack of sample documentation for same. I fee the price for OCR is a bit higher.
Initially, I struggled with implementation/usage of services but later it was very intuitive after I got a bit familiar with Google Cloud Platform.
Being a new user and only using the trial some of the functions were difficult to use.
"Google Cloud Vision paves the way for amazing future developments in cloud-platform IoT."
Overall: I was given a free trial demonstration of some of the ostensible development aspirations that might be achieved through user and administrator dedication to the offerings of Google Cloud Platform's Cloud Vision app service and programming interface.
Pros: I received a particularly surprising treat to demo this software at the scale and magnitude of professional engineering behind the code working through Google Cloud Platform delivery in that I experienced real-time, device-free, visual symbiosis of a technological platform of visual sensory augmentation that one would more commonly expect out of Virtual Reality Glasses or Augmented Reality devices. I saw my surrounding environment through significantly-increased intelligence and orthographic transformation of what was essentially a behind-the-scenes look in to what quantifies intelligent aesthetic design, as well as etiologies of visual intelligence. The prospects for this Google Cloud Platform software product are magnificent to the layperson, and to developers, alike, who aspire to create rich deliverables in user experience.
Cons: The platform is a Google Cloud Platform Project, and as such, it's a newly-burgeoning software platform for development. It's geared towards a technically-advanced user, to be sure.
"Ideal for team that is working on building a product around OCR"
Overall: I have worked with multiple OCR engines, including other professional OCR engines available and I would definitely recommend using cloud vision if you are just starting out.
Pros: 1. The accuracy is way higher as compared to other professional OCR engines available in the market for the use case that I am tackling. 2. Response time is decent (though it depends on the sizes of the images uploaded to the service) 3. Easy to configure and setup 4. The pricing scheme is also very good, its pay per use 5. Does not require any image pre processing for most of the OCR use cases, just upload an unprocessed image. Most of the heavy weight lifting for OCR process is done by the service 6. Provides an excellent benchmark if you are planning to build your own OCR engine.
Cons: 1. Documentation could be improved 2. The logging from the library could be improved to better understand failure scenarios 3. It would be good have an offline service too, always requires a connection to the internet. (Unlike its counter part mobile vision) 4. Once or twice I have observed that their backend update to the service added some extra OCR characters to the response, which broke the logic I had previously built on. So, there is a need to constantly check the response being returned from the service 5. Some advanced configurations that could be useful are missing or not documented. For example, there is no font training available with the service.
"Best From Segment"
Pros: Great interface and several functions. Simple and easy to use.
Cons: It could work offline and improve advanced settings.
"Google cloud"
Overall: Overall its a good platform for storing files.
Pros: Stores small, medium as well as large files (Even which are difficult to send or store). Folders can be created as well organised easily. Eases storage issue. Makes it easy to access the data from anywhere. Secure platform.
Cons: Sometimes the formatting in excel sheets gets little messy.
"NextGen!"
Pros: This tool makes OCR and photo recognition easy.
Cons: Implementation can be a little tricky and a way to "teach" this for your own use-case could be helpful
