NeuronWriter
Cloudimage
Cloudinary
Gumlet
Sirv
imgix
ImageKit.io
ShortPixel
Uploadcare
Amazon Rekognition
Clarifai
Google Vision AI
OpenCV
Kairos
Trueface Visionbox
Microsoft Computer Vision API
Social Mapper
Cloudimage automates the transformation and optimization of images on the fly and accelerates their distribution via the Content Delivery Network (CDN). Thanks to Cloudimage, web pages are faster and lighter, which improves both SEO and the user experience of the web or mobile application.
Cloudimage is an exceptionally effective tool for optimizing media, and efficiently resizing images and videos to be lighter and faster for a global audience. It streamlines the process of visually transforming and optimizing your content quickly and easily. By leveraging top-tier Content Delivery Networks, it speeds up the delivery of your content. This enhances the speed and usability of websites and apps on both desktop and mobile, boosting SEO, user engagement, and conversions. Its Visual AI technology intelligently adjusts and refines your visuals, including removing backgrounds and detecting watermarks, while also compressing files automatically.
How does Cloudimage work?
We download and cache: On the first image load, we get your image from your server in our cache. You can optionally use Cloudimage as an image store as well.
We crop, resize, cut, watermark, remove the background, colorize, rotate, and compress your images. Cloudimage converts your images into WebP for even more size reduction.
We lighten the weight of your images by intelligently applying the best compression for the maximum level of byte reduction imperceptible to the human eye.
Your images are delivered at the speed of light anywhere around the world via our multi-CDN architecture.
Cloudimage Amazon RekognitionNo features have been listed yet.
I specifically requested an image CDN, and that is precisely what I received, no more, no less. I immediately noticed a faster page load time, and installation was simple and painless. The support service is quick to respond and also very informative.
Based on our record, Amazon Rekognition seems to be more popular. It has been mentiond 33 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.
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 / 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
Cloudinary - Cloudinary is a cloud-based service for hosting videos and images designed specifically with the needs of web and mobile developers in mind.
Clarifai - The World's AI
Gumlet - Gumlet is an end-to-end video streaming and image delivery platform
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
Sirv - Dynamic image processing, hosting and rich-media for retailers and eCommerce.
OpenCV - OpenCV is the world's biggest computer vision library