Из-за периодической блокировки нашего сайта РКН сервисами, просим воспользоваться резервным адресом:
Загрузить через dTub.ru Загрузить через ClipSaver.ruУ нас вы можете посмотреть бесплатно Google Gemini AI Vision - OCR Text Extraction with Python или скачать в максимальном доступном качестве, которое было загружено на ютуб. Для скачивания выберите вариант из формы ниже:
Роботам не доступно скачивание файлов. Если вы считаете что это ошибочное сообщение - попробуйте зайти на сайт через браузер google chrome или mozilla firefox. Если сообщение не исчезает - напишите о проблеме в обратную связь. Спасибо.
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса savevideohd.ru
Description: Gemini AI OCR Python API In this video we are going to teach you how to setup and extract text and other information from images, using the Google Gemini AI API service. Later, we will show you the accuracy of the output, so please stick around. Gemini AI has the ability to extract text from images and interpret the contents of the image. This model can take in images and answer questions about them. You can provide images by uploading a file. This model also has many other abilities that we will cover in another video. For text extraction, Gemini AI uses a technology called Optical Character Recognition, or OCR for short. It analyzes images of text, deciphers the characters, and transforms them into editable digital text. For image recognition and classification, OpenAI Vision uses LLM technology to interpret what it sees in the image you uploaded. You can use this model to solve a myriad of problems involving images, documents, chatbots, speech and even writing code. For example - you are asking users to upload an image of a document for a specific purpose, such as proof of address or age. When the image is uploaded, you can ask Gemini AI what is displayed in the image, what text is included, and what type of document it is. The model will verify if the uploaded document is appropriate and contains the necessary information. Other examples include extracting data from forms and tables in invoices or receipts, converting handwritten notes, and handling multiple languages in one image. Want to learn more about AI and its potential applications? Stay tuned for future videos where we explore the fascinating world of AI! 📁 code repo on Github: https://github.com/TechExpertTutorial... Related Videos: ▶️ Python, Conda and VSCode Video: • Python Conda and Jupyter Notebooks on... ▶️ Azure OCR Video: • Azure AI Vision API for OCR: Text Ext... ▶️ GCP OCR Video: • Google Cloud Vision API for OCR Text ... ▶️ OpenAI OCR Video: • OpenAI GPT Vision OCR API with Python... ▶️ Gemini AI OCR Video: • Google Gemini AI Vision - OCR Text Ex... ▶️ AWS OCR Video: • AWS Textract API OCR Tutorial: Learn ... Related Videos/Playlists: ▶️ Google Cloud Vision API (Part 1): OCR Text Extraction Tutorial - • Google Cloud Vision API (Part 1): Goo... ▶️ Google Cloud Vision API (Part 2): Object Detection Tutorial - • Google Cloud Vision API (Part 2): Obj... ▶️ Google Cloud Vision API (Part 3): Landmark Detection Tutorial - • Google Cloud Vision API (Part 3): Lan... ▶️ Google Cloud Vision API (Part 4): Facial Detection Tutorial - • Google Cloud Vision API (Part 4): Fac... ▶️ Google Cloud Vision API (Part 5): Label Detection Tutorial - • Google Cloud Vision API (Part 5): Lab... ▶️ Google Cloud Vision API Playlist - • Google Cloud Vision API 💻 Our channel: / @techexperttutorials 💥 link to subscribe: / @techexperttutorials ▶️ Most recent video: • CSharp Async Await Explained: Paralle...