Zeplin Reviews

Amazon Rekognition Reviews

Zeplin mentions (21)

• Storybook 8

  Additionally, thank you to all our community launch partners across the frontend ecosystem for helping us bring Storybook 8 to the world! Thanks to Chromatic, Figma, ViteConf, Omlet, DivRiots, story.to.design, StackBlitz, UXpin, Nx, Mock Service Worker, Anima, Zeplin, zeroheight, kickstartDS, and Kendo UI. - Source: dev.to / 4 months ago

• Why is Figma better for developers?

  Designers would often use separate tools like Zeplin or Invision to handoff the designs to developers.🚮. - Source: dev.to / 4 months ago

• A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

  Zeplin — Designer and developer collaboration platform. Show designs, assets, and style guides. Free for one project. - Source: dev.to / 5 months ago

• What do you think about the new Figma developer mode?

  I'd suggest if you're going to use a tool to collaborate on finalized designs. One that doesn't rely on which design tool you use, why not use zeplin.io? There are free plans and paid plans, and it was purpose built for design delivery. Over 5 million users--over 3 million developers using it. Source: about 1 year ago

• Working with engineers

  It seems to be you and your team could benefit from a tool like zeplin. Source: about 1 year 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