Google Cloud AI Vision is a new service that allows you to easily build and deploy computer vision applications on the cloud. With Google Cloud AI Vision, you can access pre-trained models for common tasks such as object detection, face recognition, text extraction, and more. You can also customize and train your own models using Google’s state-of-the-art AutoML technology. Some of the benefits and use cases of Google Cloud AI Vision for different industries and scenarios.
Computer vision is one of the most influential and versatile applications of artificial intelligence (AI). It enables machines to understand and interact with the visual world, unlocking new possibilities for businesses across various domains.
However, building and deploying computer vision applications can be challenging and costly. It requires specialized skills, hardware, data, and tools. That’s why Google has launched its new Vertex AI Vision service1, which aims to simplify and democratize computer vision on the cloud.
What is Google Cloud AI Vision?
Google Cloud AI Vision is a computer-vision-as-a-service capability that lets you easily create and run computer vision applications on Google Cloud Platform (GCP). It offers two main features:
Pre-trained models: You can use ready-made models for common computer vision tasks such as object detection, face recognition, text extraction, logo detection, landmark recognition, product search, etc. These models are powered by Google’s cutting-edge research and technology such as TensorFlow1 , BERT etc.
Custom models: You can also build your own models using AutoML Vision1, which automates the process of data labeling, model training, evaluation, and deployment. You can either use your own data or leverage Google’s public datasets such as Open Images , YouTube-8M , etc.
With Google Cloud AI Vision, you don’t need to worry about infrastructure management or scalability issues. You only pay for what you use based on your computing and storage needs. You also get access to Google’s security features such as encryption at rest and in transit1.
How can Google Cloud AI Vision benefit your business?
Google Cloud AI Vision can help you solve various business problems using computer vision. Here are some examples of how different industries and scenarios can benefit from this service:
Retail: You can use Google Cloud AI Vision to enhance your customer experience by providing product recommendations based on visual similarity1, enabling visual search on your website or app1, detecting counterfeit products1, etc.
Healthcare: You can use Google Cloud AI Vision to improve patient care by diagnosing diseases based on medical images1, detecting anomalies in X-rays or MRI scans1, monitoring patient behavior using video analytics1, etc.
Manufacturing: You can use Google Cloud AI Vision to optimize your production process by inspecting product quality using defect detection1, measuring dimensions using object measurement1, tracking inventory using barcode recognition1, etc.
Education: You can use Google Cloud AI Vision to enhance your learning outcomes by grading student assignments based on handwriting recognition1, creating interactive quizzes based on image classification1, generating captions for educational videos using speech-to-text transcription1, etc.
Sources: : https://venturebeat.com/ai/google-reveals-whats-next-for-cloud-ai/ : https://www.tensorflow.org/ : https://arxiv.org/abs/1810.04805 : https://cloud.google.com/vision/automl/docs : https://storage.googleapis.com/openimages/web/index.html : https://research.google.com/youtube8m/
Blog research: Bing