Jekyll Reviews

Amazon Rekognition Reviews

Jekyll mentions (182)

• Recovering My Blog with Jekyll and Proxmox

  Today I decided to try and update the Jekyll theme for this site, Chirpy. If you've watched the blog or gone to this blog's status page you probably noticed it was down for a few hours today. Needless to say, things didn't go as planned. It turns out that the last time I tried to update/recreate the blog site I chose the Chirpy Starter option instead of the Github Fork option, and in trying to update it the whole... - Source: dev.to / 18 days ago

• On the road to ramen profitability 🍜 💸

  A basic marketing site built-on Jekyll and hosted via Cloudflare Pages. - Source: dev.to / about 1 month ago

• Creating excerpts in Astro

  This blog is running on Hugo. It had previously been running on Jekyll. Both these SSGs ship with the ability to create excerpts from your markdown content in 1 line or thereabouts. - Source: dev.to / 3 months ago

• JS Toolbox 2024: Essential Picks for Modern Developers Series Overview

  We also take a look into static site generators, covering Astro, Nuxt, Hugo, Gatsby, and Jekyll. We take a detailed look into their usability, performance, and community support. - Source: dev.to / 4 months ago

• Starlight vs. Docusaurus for building documentation

  In that case, what we need would be closer to a static site generator (like Gatsby, Hugo, Jekyll). But, static site generators aren't the best choice either because we would have to build a lot of documentation-focused functionality (like versioning, search, and code blocks) ourselves. - Source: dev.to / 4 months 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: 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