Most users struggle to see the full value of a product within the first 14 days (if ever).
That's why we built UserGuiding, a no-code user onboarding platform that helps increase adoption and reduce churn using interactive walkthroughs. Guide your users and display help articles they can read without ever leaving your app.
The best part? You can do it all without breaking the bank and with zero technical expertise, thanks to our drag-and-drop interface. Try UserGuiding today to get your user onboarding up and running in minutes, literally: https://userguiding.com/
No features have been listed yet.
Based on our record, Amazon Rekognition seems to be a lot more popular than UserGuiding. While we know about 33 links to Amazon Rekognition, we've tracked only 2 mentions of UserGuiding. 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.
I do some work with https://userguiding.com/ and I find them to be a good compromise between features and pricing. It's one of the more affordable user onboarding platforms out there but comes in packed with functionalities, and it looks nice, too. Source: over 2 years ago
Use user guides to onboard customers flawlessly (https://userguiding.com/). Source: about 3 years 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 / 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 / 10 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
Appcues - Improve user onboarding, feature activation & more — no code required! Stop waiting on dev and start increasing customer engagement today. Try it for free.
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
Userlane - Digital adoption platform with interactive guidance for software applications allowing anyone to understand and master any software from the get-go.
Clarifai - The World's AI
Usetiful - Fight user churn with great user onboarding. Interactive product tours and smart tips significantly improve your user retention.
Kairos - Facial recognition & mood detection API