Based on our record, Amazon Rekognition should be more popular than Thunkable. 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 / 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 / 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: 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: about 1 year ago
OP you don't need to know coding at all to make app. Try something like App Inventor Thunkable. Source: over 1 year ago
What do you think will be the best mobile app builder no code in 2023? a) Adalo b) Flutterflow c) Moxly d) Thunkable e) Glide 2. Why do you think that will be the case? 3. What are the benefits of using a mobile app builder no code? 4. Do you have any experience using a mobile app builder no code? If so, what was your experience like? 5. Do you think more people will start using mobile app builders no... Source: over 1 year ago
Thunkable is a no-code tool designed specifically for building native mobile apps. Features include drag-and-drop components, advanced logic, native mobile app functionality, and easy publication. Thunkable apps can be directly published from the platform to the Apple App Store, Google Play Store, or the web. Source: over 2 years ago
I had ideas to build an app, and made few 2 years ago or so. Indeed these technologies are great to start with. I would suggest going with Kodular.io or thunkable.com instead of appinventor. There are many pros of using these, cuz I've personally used them to build stuff I can say go with either of the two. They are completely free to start with. Source: almost 3 years ago
For the app maybe you could use something like https://thunkable.com/. Perhaps you could try something like https://firebase.google.com/ for the backend not sure if it is to technical, not used either of the tools myself. Source: almost 3 years ago
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