Based on our record, Bubble.io seems to be a lot more popular than Amazon Rekognition. While we know about 429 links to Bubble.io, 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.
2. Bubble is easy for non-coders. https://bubble.io/. - Source: Hacker News / 22 days ago
Similarly to Promises/A+, this effort focuses on aligning the JavaScript ecosystem. If this alignment is successful, then a standard could emerge, based on that experience. Several framework authors are collaborating here on a common model which could back their reactivity core. The current draft is based on design input from the authors/maintainers of Angular, Bubble, Ember, FAST, MobX, Preact, Qwik, RxJS, Solid,... - Source: dev.to / about 2 months ago
For the second category, tools like bubble, Unqork, Glide are awesome (there are a lot more of these). But the risk is to go too far, and build something that really needs to be built at a lower layer in one of these tools. The providers of course want to push every use case, but in our view these are not a replacement for traditional software, and AI-assisted programming is a better path for dev augmentation than... - Source: dev.to / 3 months ago
Bubble — Visual programming to build web and mobile apps without code, free with Bubble branding. - Source: dev.to / 4 months ago
Try bubble. I have not used it myself but I have heard it referenced as a no code solution for what you are trying to do. There is a free version. https://bubble.io. Source: 5 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 / about 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
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