PNGGauntlet VS Amazon Rekognition

PNGGauntlet Reviews

Amazon Rekognition Reviews

PNGGauntlet mentions (6)

• SNES Manuals. How big is too big? (comments below)

  Consider using PNGGauntlet for getting even higher compression. Source: almost 2 years ago

• Tips on keeping Playnite lean and mean?

  If a lot of your artwork is png files, putting them through PNG Gauntlet is likely to help save space. Search for *.png in your Playnite folder then drag and drop. Fair warning, this is going to take a long time. Possibly days for the amount of data you're talking. Source: over 2 years ago

• How can I automatically compress images without manual uploading to tinypng.com or similar websites ?

  You could download PNGGauntlet and if you using Wordpress there are many plugins for optimizing images on upload... Source: over 2 years ago

• [DISC] Aizen-san Can't Be Honest! - Chapter 2

  If you want to optimize it further, use PNGGauntlet after you put translation and saved as png. It works by removing useless junk. It's kinda slow, but I think it's still worth doing. But it's up to you. Source: over 2 years ago

• You guys are pretty reliable for this, programs for my PC?

  PNGGauntlet for compressing PNG images into smaller size (Fairly slow on big images tho). Source: almost 3 years 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 / 10 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