Amazon Rekognition Reviews

GitHub Codespaces Reviews

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: 11 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: about 1 year ago

GitHub Codespaces mentions (143)

• From Text Editors to Cloud-based IDEs - a DevEx journey

  Then, we had the rise of the cloud and the arrival of cloud-based IDEs. The first cloud-based IDE was PHPanywhere (eventually becoming CodeAnywhere) in 2009, followed by Cloud9 in 2010 (before AWS bought it in 2016), Glitch (2018), GitPod (2019), GitHub Codespaces (2020), and Google’s Project IDX (2024). - Source: dev.to / 7 days ago

• Mastering Code Quality: Setting Up ESLint with Standard JS in TypeScript Projects

  If your team is using a Cloud Development Environment such as GitHub Codespaces, or Dev Containers such as Docker, you can even share the installation of dbaeumer.vscode-eslint with your teammates, via devcontainer.json. - Source: dev.to / about 1 month ago

• Coding on tab s9 ultra

  Https://github.com/features/codespaces Currently, it is probably the most convenient for coding on mobile devices. Source: 6 months ago

• Learning Angular

  I am currently right now viewing Angular Essential Training (paid by my company but I have a personal Pluralsight) and using GitHub Codespaces for $4 a month to host the virtuals created for such coding/learning. Source: 7 months ago

• Amazon CodeCatalyst - Is it ready for the enterprise?

  I’m very interested in recent advancements in cloud-hosted development environments. GitHub Codespaces is the option I have the most experience with and the one I use more generally. With cloud-hosted development environments, your local machine becomes more of a thin client that facilitates access to the internet and the development environment. That is a considerable step toward enabling better education in... - Source: dev.to / 7 months ago