Google Cloud Vision API Reviews & Product Details

we are using vision API in a project where we have to know the foods nutritions value so we get the food name by Image recognition API and then calculate its nutritions as per food contents. It is very easy to integrate it with our application and the api response time is also very fast.The models use by vision API are sone of the best models in Image recognition field. Review collected by and hosted on G2.com.

For low quality image it sometime give wrong answer as some food has same colour. It does not provide us to customize or train the model for our specific use case. Configuration part is complex, which can be improved. Review collected by and hosted on G2.com.

The Vision API makes it super easy to add powerful image analysis and processing capabilities to applications without needing machine learning expertise. There are simple REST and RPC APIs for tasks like label detection, facial recognition, OCR, and more.

Pre-trained models. Google provides access to state-of-the-art pretrained models like AutoML Vision or custom Vision models. This means you can get great results without having to train and tune models yourself. Review collected by and hosted on G2.com.

Can't deploy models on-premise/offline. The models are accessed over API so an active connection to Google Cloud is required. This limits use cases for apps/device that need offline CV support. Review collected by and hosted on G2.com.

The Vision API provides access to incredibly powerful pre-trained machine learning models that can analyze images and video. This means you don't have to train your own models from scratch.

The capabilities are very extensive, including label detection, facial recognition, object localization, text recognition (OCR), landmark recognition and more. Review collected by and hosted on G2.com.

The Vision API exclusively provides access to Google's pre-trained models. There is no ability for users to train or customize models on their own dataset. This limits flexibility for business-specific image recognition needs.

Users have very little control or configurability over the provided models and how predictions/analysis is done. It is essentially a black box, which some may not like. Review collected by and hosted on G2.com.

The best in google cloud api is that without familarity of machine learning we can easily make use of image recognition. I especially implemented this in my project where label detection and optical character recognition are needed.It just improved my project performance very well . The integration with cloud platform helped me train my model. Initially for using this api i refered to youtube and user manual for support.Summing up my experience with google cloud vision api is great! Review collected by and hosted on G2.com.

Since every product has its own downsides so does this api. One is we cannot use this great product offline other is there are only limited pre-trained models as it has little room for customization. Well cost is pay as you go which i would suggest to give users atleast 2months of free trail instead of 1 month. Review collected by and hosted on G2.com.

My favorite part is that with the introduction of Google Cloud Vision API, it has helped various government-related websites and secured platforms to integrate video recognition and face recognition in order to be more secure and provide security to the customers and safeguard their data. It has also helped many private businesses with video and face recognition features to build more security in their platforms and apps. I am a part of a company that works in payment gateway services and it has helped our company in the integration of face recognition features and video recognition to be more safe and secure our customer's data. It has also helped in detecting labels from images to get the required information. It has helped in optical character recognition in scanned documents to verify it. The ease of use and implementation of images are fast and it can provide alot of information based on the image. We are currently exploring its full potential and using it daily to improve the efficiency of our business. Review collected by and hosted on G2.com.

No limitations or disadvantages according to me, because it has helped in image label detection, provides safe search, and integrates facial recognition and character recognition features to provide security and safeguard the personal data of customers. Review collected by and hosted on G2.com.

it is very help ful to filter the data like images or documents in our website with out human attention Review collected by and hosted on G2.com.

I like it because it is recognising and detecting the sensitive content on my website really cool. Review collected by and hosted on G2.com.

Most helpful things I have experienced about this particular Vision API tool from Google is its detection feature integration in our Deep and Machine learning projects. It's API helping us to detect of any objects and label them with human understanding and form a machine learning model. Review collected by and hosted on G2.com.

Least helpful as such nothing ancountered till now. Cause my our limited uses or features of this Google API. Review collected by and hosted on G2.com.

It is easy to filter the data like images and documents through our website instead of using human requirement. Review collected by and hosted on G2.com.

It is really great that it recongizes and detects sensitive data on our website Review collected by and hosted on G2.com.

I like protobuf light weight protocol for light weight and fast transmission of payload and response.

regarding APIs there is ease of use, implementation and integration is there. features provied are also ok, but in some cases AWS service was doing better than google API.

So there needs to be some work done on improving the accuracy. Review collected by and hosted on G2.com.

I dislike the video labelling api as its very costly. Internaly it uses video segmentation only so it should be not that much costly.

in a direrent service, in google ads account

Customer Support was of no help. Bsically If someone is creating a google ads account for the first time then there shoud be a progress tracker with them and they should be able to see where is the client stuck.

basically ease of implementation and integration is not there. Review collected by and hosted on G2.com.

I was doing a research over a topic Facial HealthCare using AI ML which brought my attention to the Google cloud Vision API. Eventually we had a plan to bring computer vision in our use case and this Tool / API is a perfect fit for our problem statement

Hence the smooth recognition of facial features expressions and emotions help us know the Facial Health of a person Review collected by and hosted on G2.com.

Having A lot Configuration, Our cluster of configuration were very difficult to achieve. Making the Tool more user friendly would be my honest opinion Review collected by and hosted on G2.com.