Amazon Rekognition
Google Vision AI
Clarifai
Kairos
OpenCV
Microsoft Computer Vision API
Trueface Visionbox
Social Mapper
Adobe Analytics
Google Analytics
Mixpanel
Heap
Matomo
Google Tag Manager
Smartlook
Hotjar
Amazon RekognitionBased on our record, Amazon Rekognition seems to be a lot more popular than Adobe Analytics. While we know about 33 links to Amazon Rekognition, we've tracked only 2 mentions of Adobe Analytics. 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 / 2 months 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 / 11 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: 11 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
Google Analytics was launched in 2005 as a tool for reporting web traffic. It is one of many web analytics tools. Adobe Analytics and Hubspot Analytics are example competitors to Google Analytics. - Source: dev.to / over 2 years ago
What it is: Adobe Analytics provides a set of tools that lets you collect, measure, and explore data you can use to predict traffic and gain insights. It has an interactive analytics workspace that helps you easily drag and drop data tables, visualizations, and components. - Source: dev.to / over 2 years ago
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.
Clarifai - The World's AI
Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.
Kairos - Facial recognition & mood detection API
Heap - Analytics for web and iOS. Heap automatically captures every user action in your app and lets you measure it all. Clicks, taps, swipes, form submissions, page views, and more.