Скачать с ютуб Google Cloud Vision AI | Documentation | Example code to use in Application в хорошем качестве

Google Cloud Vision AI | Documentation | Example code to use in Application

Cloud Vision allows developers to easily integrate vision detection features within applications, including image labeling, face and landmark detection, optical character recognition (OCR), and tagging of explicit content. 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. Automatically extract handwriting, plain text or form data from any document using a huge machine learning model based on billions of sample documents. Google Vision is a cloud OCR service that automatically detects and extracts text and data from scanned documents and PDF files. It goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables. Google Vision API also lets you implement OCR in your RPA workflows. UiPath and other bots offer connectors that let you include Vision OCR into your RPA process. Google Vision is not a “ready-to-use” product. It requires programing skills, experience with Google cloud services, and decent amount of coding to implement it into your systems, especially once you add user interfaces for scanning and data validation. https://cloud.google.com/vision?hl=en https://cloud.google.com/vision/docs