waifu2x VS Amazon Rekognition

waifu2x Reviews

Amazon Rekognition Reviews

waifu2x mentions (24)

• Dengeki PlayStation Oct. 1995 - Prototype Guilty Gear: The Missing Link article (English translation link & additional info in comments)

  In an effort to restore them as much as I could, I used a combination of waifu2x ("Single-Image Super-Resolution for Anime-Style Art using Deep Convolutional Neural Networks"), Clip Studio Paint resize/cleanup tools, and manual cleanup done by hand. Unfortunately, the red text on the title page was a lost cause. If anyone can decipher solid red rectangles please contact me lol. Source: 12 months ago

• Outfit 5 Wins! Thanks for playing, everyone! (P.S. I’m doing Apple next)

  Maybe this would help. There's also an app version of it. Source: about 1 year ago

• Wallpaper background span for dual monitors (landscape and portrait)

  I would recommend putting it through an upscaler beforehand, it seems a bit small. Source: over 1 year ago

• Anyone got a higher quality version of this pic?

  Http://waifu2x.udp.jp/index.html found this image upscaler from https://www.reddit.com/r/FireEmblemHeroes/comments/a51f0k/i_turned_yusuke_kozakis_artwork_into_a_high/?st=JPIZKYIB&sh=f12f76fe a while ago, perhaps that would be the closest if IS doesn't release anything. Source: over 1 year ago

• Honda celebrates Max Verstappen's championship win in today's Japanese newspaper The Nikkei: "Congratulations, Max"

  You can make it bigger for print by using by using an Japanese AI image enlarging tool. Source: over 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 / about 1 month 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 / 9 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: 10 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