Visual Studio Code Reviews

1. dksinden

   | Working at SpeechKit | over 4 years ago

Amazon Rekognition Reviews

Visual Studio Code mentions (1041)

• The Hard Problem of Collaborative Undo-Redo

  In web applications or desktop applications that supports multiple tabs (e.g., VSCode), a session equals a single tab. - Source: dev.to / 1 day ago

• Kickstart Your Python Journey A Beginners Guide

  For an efficient coding experience, we recommend using an Integrated Development Environment (IDE). VSCode and PyCharm are excellent options to start with. - Source: dev.to / 4 days ago

• Use Continue, Ollama, Codestral, and Koyeb GPUs to Build a Custom AI Code Assistant

  VS Code or JetBrains installed on your machine. - Source: dev.to / 7 days ago

• Must-Have Tools for Frontend Developers

  Visual Studio Code, commonly known as VS Code, is a popular choice among developers. It's free, open-source, and packed with features. - Source: dev.to / 6 days ago

• Working with the Node.js Tools

  Selecting a code editor An editor is required to write the code that will be executed by Node.js, and any editor that supports JavaScript and TypeScript can be used. If you don’t already have a preferred editor, then Visual Studio Code (https://code.visualstudio.com) has become the most popular editor because it is good (and free). - Source: dev.to / 7 days ago

Amazon Rekognition mentions (33)

• Afraid of outgrowing AWS Rekognition? Try YOLO in Lambda.

  AWS Rekognition is a great choice for many types of real-world projects or just for testing an idea on your images. The issue eventually comes with its cost, unfortunately, which we will see later in a specific example. Don’t get me wrong, Rekognition is a great service and I love to use it for its simplicity and reliable performance on quite a few projects. - Source: dev.to / 3 months ago

• Amazon Rekognition Custom Labels for Bears

  I don’t really want to spend so much time manually adjusting labels. For most machine learning, the next step would be to fine tune your model. You can essentially fine tune Amazon Rekognition by using Custom Labels. You can do this to make it better at detecting specific objects (like bears) or train it to detect new objects like your product or logo. It really depends on your application needs. - Source: dev.to / 11 months ago

• “During a gold rush, sell shovels.” What are the shovels in the AI rush?

  For instance, are you a company with lots of security cameras? Hire me to write a program that pipes your data into AWS rekognition and then shows you a dashboard of what happened on your cams today. Got a ton of products with no meta-description? Hire me to write a program that pipes your data into OpenAI, and then saves the generated description to your custom CMS. Source: 12 months ago

• Serverless Facial Recognition Voting Application Using AWS Services

  Amazon Rekognition: Used to index, detect faces in the picture, and compare faces when users try voting, it was the heart of the facial voting feature. - Source: dev.to / about 1 year ago

• Amazon Prime Video playback features

  Sure. But if you think generating thumbnails and detecting intros/credits takes a long time, wait until your computer is running machine learning/computer vision over your entire library. They also have to build and train that model which is no trivial task. And I know what you're thinking, why don't they just use Amazon's Rekognition service that does celebrity identification? Well, it's $0.10 per minute of... Source: over 1 year ago