Amazon Rekognition might be a bit more popular than TinyJPG. We know about 33 links to it since March 2021 and only 23 links to TinyJPG. 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.
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
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 / about 1 year 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
Improve your website speed and mobile responsiveness. Google loves websites that load fast. Make sure your pictures aren't heavy. Use apps like TinyJPG. Use the right amount of animation because too much of anything is bad. Source: 7 months ago
Extract the scanned image and resize to make it a bit smaller, then compress the images on tinyjpg.com, merge them all into one pdf file using smallpdf, finally compress the pdf file again on the same website. Source: about 1 year ago
I'd say that a proper OR recommended approach towards optimizing images for the web is to manually compress them with compression tools like TinyJPG or Squoosh before uploading them to your favorite image CDN. Why? you'd ask me. - Source: dev.to / about 1 year ago
Oh and for the file size: compressing is usually better than resizing. And your image is a PNG which is much bigger in size than a JPG and you barely notice the difference. You can use https://tinyjpg.com/ or any proper image editor for good compression or even in Wonderdraft, you can (for sharing on Reddit) better export it as a JPG and at 80% or so. Source: over 1 year ago
Compress image using commandline tool (convert / jpegoptim) or online tool - https://tinyjpg.com/. - Source: dev.to / over 1 year ago
Clarifai - The World's AI
TinyPNG - Make your website faster and save bandwidth. TinyPNG optimizes your PNG images by 50-80% while preserving full transparency!
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
ImageOptim - Faster web pages and apps.
OpenCV - OpenCV is the world's biggest computer vision library
Shrink Me - Compress images with one drag / click