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Based on our record, Firebase seems to be a lot more popular than ML Kit (by Google). While we know about 278 links to Firebase, we've tracked only 9 mentions of ML Kit (by Google). 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 was trying to decide on some Flutter side project to exercise some organizations and concepts from the framework and since AI is at hype I did some research and found out about Google Machine Learning kit which is a set of machine learning tools for different tasks such as face detection, text recognition, document digitalization, among other features (you should really check the link above). They're kinda plug... - Source: dev.to / over 1 year ago
The biggest difference between the two plugins is the SDK used to recognise the barcodes. The Capacitor Community Barcode Scanner plugin currently uses the ZXing decoder and the Capacitor ML Kit Barcode Scanning plugin uses the ML Kit from Google. Source: over 2 years ago
Assuming you're talking about leveraging the device's the device's Tensor Processing unit for machine learning then there then you're in luck because Google designed the TPU to work extremely well with the machine learning solutions developed by Google such as easy to use SDKs, robust runtimes and APIs ( e.g. - which you probably aren't going to need to touch). If you're a researcher there's plenty of lower level... Source: over 2 years ago
Google's ML Kit https://developers.google.com/ml-kit. Source: about 3 years ago
Thanks. The name of the ML package is "ML Kit". This one: https://developers.google.com/ml-kit. Source: over 3 years ago
Firebase is an all-in-one platform that provides a suite of backend services, including a real-time, NoSQL JSON database. It's a powerhouse for building entire applications, especially mobile apps. - Source: dev.to / about 1 month ago
For backends, "Supabase or Firebase for setting up a backend with authentication and data storage.". - Source: dev.to / about 2 months ago
Firebase - a Backend-as-a-service platform developed by Google to enable us to add authentication, database, real-time communication, file storage, cloud functions, and many others within software applications. - Source: dev.to / 2 months ago
The core idea is to leverage the power of both cloud-based AI models and on-device (local) AI processing within a single application. The Firebase AI SDK provides this capability, allowing you to prioritize running AI tasks directly on the user's device whenever possible, while seamlessly falling back to cloud processing if the on-device model is unavailable or insufficient. - Source: dev.to / 3 months ago
For years, the Firebase platform has been synonymous with rapid, scalable application development, largely built upon the foundations of its NoSQL databases, Firestore and the Realtime Database. - Source: dev.to / 4 months ago
ZIR Semantic Search - An ML-powered cloud platform for text search
Supabase - An open source Firebase alternative
Bifrost Data Search - Find the perfect image datasets for your next ML project
Android Studio - Android development environment based on IntelliJ IDEA
150 ChatGPT 4.0 prompts for SEO - Unlock the power of AI to boost your website's visibility.
Socket.io - Realtime application framework (Node.JS server)