Google Cloud Vision API

What do you like best about Google Cloud Vision API?

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.

What do you dislike about Google Cloud Vision API?

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.

What problems is Google Cloud Vision API solving and how is that benefiting you?

we are using vision API for recognition of food so that we can get its content and then calculate its nutrition. In our testing with other Image recognition service, vision API has outperform most of the models. The cutting edge models of google are easily available at affordable price, which helps in quick implementation of use cases. In our other use cases we are using OCR for text detection and object detection to detect objects and label them in a image.

What do you like best about Google Cloud Vision API?

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.

What do you dislike about Google Cloud Vision API?

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.

What problems is Google Cloud Vision API solving and how is that benefiting you?

The Vision API gives any developer access to complex machine perception technologies like image labeling, text extraction, facial recognition etc. without needing ML expertise. This democratizes cutting-edge vision capabilities.

It provides easy horizontal scaling to process huge volumes of image/video data on Google Cloud. I don't have to worry about infrastructure constraints. It can scale to my needs seamlessly.

What do you like best about Google Cloud Vision API?

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.

What do you dislike about Google Cloud Vision API?

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.

What problems is Google Cloud Vision API solving and how is that benefiting you?

Building accurate computer vision models requires significant machine learning expertise and large datasets which I lack. Vision API gives ready-to-use models saving huge development effort.

Integrating the Vision API speeds up development cycle massively compared to training my own models. I can launch new features leveraging its capabilities much quicker.

What do you like best about Google Cloud Vision API?

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!

What do you dislike about Google Cloud Vision API?

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.

What problems is Google Cloud Vision API solving and how is that benefiting you?

I used Google Cloud Vision API for a project that required image recognition and classification into emergency and non-emergency categories also including OCR (Optical Character recognition). This greatly helped me out because it reduced the amount of time I had to spend training and labeling the photos. The correctness of my project also improved greatly.Overall, I've had a fantastic experience utilizing the Google Vision API. This also helped me place third in the project expo contest.

What do you like best about Google Cloud Vision API?

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.

What do you dislike about Google Cloud Vision API?

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.

What problems is Google Cloud Vision API solving and how is that benefiting you?

It has helped our business in implementing facial recognition features and character recognition from the images. It has also helped in image label detection and getting the required information from the images. It has helped in building more data security with document recognition features in order to do business and provide services safely to customers.