Landmark Detection using Google Cloud Vision
Tutorial on Google Vision API in Python - Landmark Detection
As we mentioned in our previous video, Google Cloud Vision is a powerful tool that allows developers to easily integrate vision detection features into their applications. Azure and AWS have their OWN image detection services, each with different strengths and weaknesses. We already covered these in previous videos. See our Playlist on OCR Text Extraction for more details.
In our last 2 videos, we taught you how to detect text, and detect objects, in a image stored locally, using Google Cloud Vision API. Check the description below for a link to those videos. Today, we will teach you how to detect LANDMARKS in ONLINE images, using this API.
📁 code repo on Github: https://github.com/TechExpertTutorial...
Related Videos:
▶️ Python and Conda Video: • Best Python IDE- VSCode Setup: Includes Co...
▶️ Azure OCR Video: • Azure AI Vision API for OCR: Text Extracti...
▶️ GCP OCR Video: • Google Cloud Vision API for OCR Text Extra...
▶️ AWS OCR Video: • AWS Textract API OCR Tutorial: Learn AWS O...
Related Videos/Playlists:
▶️ Google Cloud Vision API (Part 1): OCR Text Extraction Tutorial - • OCR Text Extraction Using Google Cloud Vision
▶️ Google Cloud Vision API (Part 2): Object Detection Tutorial - • Object Detection Using Google Cloud Vision
▶️ Google Cloud Vision API Playlist - • Google Cloud Vision API
💻 Our channel: / @techexperttutorials
💥 link to subscribe: / @techexperttutorials
▶️ Most recent video: • CSharp Async Await Explained: Parallel Pro...
In questa pagina del sito puoi guardare il video online Landmark Detection using Google Cloud Vision della durata di ore minuti seconda in buona qualità , che l'utente ha caricato Tech Expert Tutorials 08 aprile 2024, condividi il link con amici e conoscenti, su youtube questo video è già stato visto 1,961 volte e gli è piaciuto 10 spettatori. Buona visione!
![[ Free Download ] Kickstart VST 2017 || Best VST For Remixing](https://image.4k-video.ru/id-video/VKCTnL_0MHw)
