Vision AI | Derive Image Insights via ML | Cloud Vision API
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Vision AI
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more.
AES, a Fortune 500 global power company, is using drones and AutoML Vision to accelerate a safer, greener energy future.
Industry-leading accuracy for image understanding
Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy.
AutoML Vision
Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge.
Vision API
Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
Benefits
Detect objects automatically
Detect and classify multiple objects including the location of each object within the image. Learn more about object detection with Vision API and AutoML Vision.
Gain intelligence at the edge
Use AutoML Vision Edge to build and deploy fast, high-accuracy models to classify images or detect objects at the edge, and trigger real-time actions based on local data. AutoML Vision Edge supports a variety of edge devices where resources are constrained and latency is critical. Learn more.
Reduce purchase friction
With Vision API’s vision product search, retailers can create an engaging mobile experience that enables your customers to upload a photo of an item and immediately see a list of similar items for purchase from you.
Understand text and act on it
Vision API uses OCR to detect text within images in more than 50 languages and various file types. It’s also part of Document Understanding AI, which lets you process millions of documents quickly and automate business workflows.
Detect explicit content
Vision API can review your images using Safe Search, and estimate the likelihood that any given image includes adult content, violence, and more.
Use our data labeling service
If you have images for AutoML Vision that aren’t yet labeled, Google has a team of people that can help you annotate images, videos, and text to get high-quality training data. Learn more.
Which vision product is right for you?
You can work with either one, or reap the benefits of both products by using Vision API to quickly categorize content using thousands of predefined labels, and using AutoML Vision to create additional custom labels to suit your specific needs.
Predefined or custom labeling
Deploy at the edge
Integrate with
ML Kit
Additional features
Vision API customers
The New York Times
Learn how The New York Times uses Google Cloud and Vision API to find untold stories in millions of archived photos.
See how Box brings image recognition and OCR to cloud content management with Vision API.
AutoML Vision customers
Chevron
Learn how Chevron uses AutoML Vision to find information that is challenging to get when you need it.
Texas A&M University
Discover how Texas A&M University researchers are using AutoML Vision to assess and track environmental change.
Zoological Society of London
Learn how ZSL is using AutoML to identify animals in vast camera trap datasets to help save endangered species.
GlobalFoundries
“Google Cloud AutoML Vision made it easy for our subject matter experts to quickly learn how to navigate and then train the AI. In our factory leading the initiative, 40% of the manual inspection workload has already been successfully shifted to the visual inspection solution we built based on AutoML Vision.”
Highlights from Google Cloud Next ’19
Learn how enterprise customers are gaining valuable intelligence from image data using Google Cloud AI.
AES is using drones and AutoML Vision to make inspecting energy assets safer and more efficient
LG CNS is using AutoML Vision Edge to accurately detect defects in various products on the assembly line
Nordstrom is using Vision Product Search to enable shoppers to easily find products simply by taking a photo
Unilever is using Vision API to gain new insights on consumer behavior and improve ad campaign effectiveness
IDEXX is using AutoML Vision to automatically organize medical imagery and improve the productivity of their radiologists
Use cases
Industrial inspection
Use AutoML Vision Edge to automate the quality control process in manufacturing by enabling edge devices to identify defects.
Sign up to learn more about our industrial inspection solution.
Pricing
Resources
Gartner 2020 Magic Quadrant for Cloud AI Developer Services
Forrester New Wave™: Computer Vision (CV) Platforms, Q4 2019
AutoML Vision Documentation - for models in the cloud and on edge devices
AI Adventures: AutoML Vision, Part 1
AI Adventures: AutoML Vision, Part 2
Vision API Documentation
Vision Product Search Documentation
Google Cloud Solutions for Energy
Machine Learning APIs by Example
Google Cloud Podcast #109: Cloud AutoML Vision
Google Cloud Solutions for Retail
Take courses and hands-on labs
Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API
Cloud Vision API from a Kubernetes Cluster
Classify Images of Clouds in the Cloud with AutoML Vision
Scan User-generated Content using Cloud Vision and Video Intelligence APIs
Using the Cloud Vision API with Ruby
More Google Cloud AI Courses and Hands-on Labs
Machine Learning APIs
APIs Explorer: Qwik Start
Extract, analyze, and translate text from images with the Cloud ML APIs
Get started
Integrate computer vision into your applications
Get started now with AutoML Vision, AutoML Vision Edge, Vision API, or Vision Product Search.
Learn more about the product launch stages.
Cloud AI products comply with the Google Cloud SLA policies. They may offer different latency or availability guarantees from other Google Cloud services.
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