Based on our record, This Person Does Not Exist seems to be a lot more popular than Amazon Rekognition. While we know about 1047 links to This Person Does Not Exist, we've tracked only 33 mentions of Amazon Rekognition. 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.
The website https://thispersondoesnotexist.com/ has been mentioned a few times on HN; is there a voice equivalent to this concept? The question came to mind when we were evaluating an AI multilingual, voice-over service and someone asked about indemnification from copyright claims (eg: if this service used a voice that sounded too much like Scarlet Johanssen, for example). Surely there are purely AI voices out... - Source: Hacker News / about 1 month ago
I'm sure there will be plenty of new individual writers for you to follow, like this one [0], or this one [1], or this one [2]. 0: https://thispersondoesnotexist.com/ 1: https://thispersondoesnotexist.com/ 2: https://thispersondoesnotexist.com/. - Source: Hacker News / 4 months ago
I wonder if we will ever get a realism model which can produce normal faces like https://thispersondoesnotexist.com instead of like super symmetrical faces of models. Source: 7 months ago
This has been in circulation since a while AI images took off, and they certainly weren't convincing before they did. You know the old "try to name one thing in this image" macro? Pretty sure that was AI generated, there was also thispersondoesnotexist.com which was always pretty good but of course it is. Source: 7 months ago
Not the workflow for these images, but if you easily want to spice up your gens with a bit more natural look, try using images from thispersondoesnotexist.com with IPAdapter face model. Source: 7 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 / 3 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 / 12 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: 12 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: over 1 year ago
This Cat Does Not Exist - Computer generated cats. Refresh to get a new one.
Kairos - Facial recognition & mood detection API
Generated.photos - Explore our free resource of 100k high-quality faces, each entirely generated by AI. Use them in your projects, mockups, or wherever — all for just a link back to us!
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
This Resume Does Not Exist - Resumes generated by a neural network
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