Derive Insights from Your Images in the Cloud or at the Edge with AutoML Vision

Google AutoML Vision is nothing but a simple machine learning model, the basic job is to recognize images, Google also intends to offer its machine learning algorithms for natural speech recognition, translation, video applications, and other applications.

   Industry-leading accuracy for image understanding: 

Google Cloud offers two computer vision products that use for machine learning 

1. AutoML Vision

2. Vision API 

AutoML Vision:  Google Cloud  Auto ML VIsion has the ability to automate the training of your own custom machine learning models. Now you can simply upload images and train custom image models with Auto ML Vision’s easy-to-use graphical Users interface and you can optimize your models for 1) accuracy, 2) latency 3) size; and export them to your application in the cloud.

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Vision API: Google Cloud’s Vision API is another fantastic invention. It offers powerful pre-trained machine learning models through REST( Representational State Transfer) and RPC( Remote Procedure Call) APIs. You can assign any labels to images and quickly classify them into millions of predefined categories. You can detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog. 

Benefits: 

1. Detect objects automatically: With the help of Google Auto ML Vision, you can detect and classify multiple objects including the location of each and every object within the image. Also, you can learn more about object detection with Vision API as well as AutoML Vision.

2. Gain intelligence at the edge: With the help of AutoML Vision Edge, you can build and deploy fast, with high-accuracy to classify images or detect objects at the edge and trigger real-time actions based on local data. 

3. Reduce purchase friction: With Google’s Vision API’s product search option, retailers can easily create an engaging mobile experience that enables customers to upload a photo of an item and wish to buy a similar one from you. 

4. Understand text and act on it: Google Cloud  Vision API uses OCR( optical character recognition) to detect text within an image in more than 50+ languages, various file types also available. 

5. Use data labeling service:  You can use Google's Data labeling service to request human labelers label a collection of data that you plan to use to train a custom machine learning model.  

                                                Which vision product is right for you?

     1) Additional Features:  

1.  Predefined custom labeling 

2.  User interface