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.

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.

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.

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.

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.

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.

Great interface and several functions. Simple and easy to use.

It could work offline and improve advanced settings.

Overall its a good platform for storing files.

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.

Sometimes the formatting in excel sheets gets little messy.

needs let the customer when in use that it rebooting

the software helps save the work and progress when doing the work or schooling

the system some time doesn't show when it needs to reboot

Initially, I struggled with implementation/usage of services but later it was very intuitive after I got a bit familiar with Google Cloud Platform

The range of features it provides - The ability to create custom models for user-defined labels. And the best part about it is the data labelling service(for both image classification & detecting objects in it ). It also enables the user to deploy ML/DL models. Best OCR cloud service I have used so far (it handles major languages). Other than this I also liked Face detection which identifies the tiniest face from the group people in the image. And allowing to access these services in the free tier (limited access)

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.

As of now, it is one of the easiest and most versatile APIs or platform for implementing deep learning into my own code. Although setup was somewhat difficult, the experience afterwards was simple and efficient. Also, since there is a large user base, there are many resources for troubleshooting or debugging code.

The ease of use and extensive documentation. Some other apis for computer vision are often difficult to use because of lack of documentation, however I found that that is not the case with Google Cloud Vision. There are also numerous different options such as OCR(optical character recognition) to identify text or object identification to tell the user what items are in a photo.

Setting up the platform on terminal for example has many steps and is sometimes convoluted. The documentation is there, but it is somewhat confusing.

We have been using Google Cloud Vision for some time. We automatically feed images that are submitted by users to the Google Cloud Vision API, and it analzyes the images. It tells us if the images are likely to be adult images that need to be censored. It works well, and is fast. It is quite expensive though, so we have to weigh up wether it is worth the extra cost to use it.

It is capable of detecting if an image is likely to be adult in nature, for example racy or pornographic.

It is very expensive to use, and it requires sending images to Google, when we would prefer for them to be kept on our own servers.

This tool makes OCR and photo recognition easy.

Implementation can be a little tricky and a way to "teach" this for your own use-case could be helpful

Quick and easy to integrate with any language. High Accuracy

It is more expensive compared to Amazon Recognition which provides the same service.

We have been using Google Cloud Vision for a client who has given us thousands of user submitted images that are to be used in a personalised mail merge. To avoid any images that contain objectionable content, we avoided the cost and tedium of having to manually look through thousands of images, by using Google Cloud Vision API. It was able to classify images that were offensive, and remove them from the catalog. There was a cost involved, but it was less than employing somebody to do it, if we could have even found someone.

I like the feature that can read text in an image, even if it is obscure text like signage or unusual fonts. It picks up this text and outputs it in the data stream that comes from Google Cloud Vision.

It is very complicated to set up Google Cloud Vision, including API keys, permissions, and programming languages. We have been working with a developer who has made us a simple drag and drop tool that organises the images into folders, but it is still a complicated workflow.

I wish you more excellence and success

The design and the way people are interested in offering everything to them is easy for them

I think only prices But I wish you more success and success and this side I think does not affect your strong company

Gcp is very beneficial for any person because they can provide store and get data from cloud. Best security provider. They can provide free storge and database. It's also provide big data to use very esily. Virtual network provide any we're you can use it.

If your internet connection is not best it's poor use gcp very hard other wise best in cloud platform.

Really great

I like that it allows me with ease to integrate vision detection features with in aps

I dont dislike anything about this one!

It has been a pleasure to work with Cloud Vision and see the power of the algorithms being used in the backend

The API is very easy to use and helps to do in depth analysis of images. There are even great tutorials out there, that teach you, how to use the Google's state of the art algorithms on your data sets, in order to get the bests of the results. Not only this, it can also help you with human annotations if you need it.

The price could be a little bit costly if looking from a student's perspective. For industrial use, it is very cost efficient.

Very easy and user friendly great for people in my field

Very easy and user friendly great for people in my field

Online issues not many other problems I can think of

Every time Google Cloud Platform release a new Machine Learning service I'm interested to get involved. This one is no different - providing simple solutions to complicated problems.

Cloud Vision produces incredibly accurate results for photo recognition, with comprehensive metrics and low overhead - this has been a great addition to the currently thin Computer Vision application space.

Cloud Vision isn't particularly customisable. It cannot currently handle novel problems which limits it to simple image recognition.

It is very easy to user and it has API for most popular languages, like python.

Some times it does not have some features as Transfer Learning.

It's amazaing the way you can edit the pics.

There is not too much edit features. Dropping a few and a new update will be great.

I use cloud vision in editing personal images. It has great features that allows me to edit different pictures in different designs and shapes. The product also offers a storage for different files in cloud.

The customer care personnel are slow in respoding to my questions.

I like that you can drop photos directly form your drive and you can make models.

Being a new user and only using the trial some of the functions were difficult to use.

Cloud vision is nice to use for images in our projects.

Sometimes it does not detect images and is not helpful.

I had a very good experience using this software

User friendly and cool to use and very fast response time

All features are cool,user friendly,fast

we wanted to integrate vision detection features for our app

easy to use API for development of vision detection features within apps. We found this software as an excellent tool to deliver our required goals to create our app

it took time to get used to its full set of features.

Great at detecting unwanted explicit content Great at imagine labeling Face and landmark detection works great

Hard to use Had to call to help and set up and starting out Could use a manual