TinyPNG
ImageOptim
TinyJPG
Caesium Image Compressor
Squoosh
JPEGmini
Compressor.io
XnConvert
Amazon Rekognition
Clarifai
Google Vision AI
OpenCV
Kairos
Trueface Visionbox
Microsoft Computer Vision API
Social Mapper
TinyPNG Amazon RekognitionBased on our record, TinyPNG should be more popular than Amazon Rekognition. It has been mentiond 155 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
You also have things like https://tinypng.com which do (basically) lossy PNG for you. Works pretty well. - Source: Hacker News / about 2 months ago
Compressing images: This technique reduces image size without compromising quality. You can achieve this using various image compression tools like TinyPNG or ImageOptim. These tools are specifically designed to manage multiple image formats and compression methods. They help reduce image files, resulting in less data transfer from the server to the user's device. It is advisable to compress images before... - Source: dev.to / 2 months ago
Tinypng.com — API to compress and resize PNG and JPEG images, offers 500 compressions for free each month. - Source: dev.to / 3 months ago
TinyPNG Smart WebP, PNG and JPEG Compression. When utilised with the Raycast extension by Ryo Kawamata image compression becomes a simple task. - Source: dev.to / 4 months ago
ImageOptim - For lossless image compression. TinyPNG - Compress PNG and JPEG images without losing quality. - Source: dev.to / 4 months ago
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 / 30 days ago
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
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
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 / 12 months ago
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
ImageOptim - Faster web pages and apps.
Clarifai - The World's AI
TinyJPG - Compress JPEG images with perfect quality and file size
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
Caesium Image Compressor - Compress your pictures up to 90% without visible quality loss.
OpenCV - OpenCV is the world's biggest computer vision library
