Month: June 2018

Firebase ML Kit 6: Using Custom TensorFlow Lite Models

If you’re already an experienced ML Developer, chances are you already have your own model that can perform operations such as Text Recognition and Face Detection. So why might you want to host your model using Firebase ML Kit? Well, here are the advantages of doing so: Reduce your app’s binary size Choose whether to…
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Firebase ML Kit 5: Landmark Recognition

When an app can recognise all sorts of known landmarks, it can add a whole new level of experience and immersion. It doesn’t only need to apply to tourism-related apps. Say for example, you have a books app and you stumble across a library. You can take a picture of it and let ML Kit…
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Firebase ML Kit 4: Image Labelling

Ever tried out Google Lens and saw the app just tell you everything the camera sees? That’s exactly what Image Labelling is. You pass in an image and in return you get a list of  FirebaseVisionCloudLabel each of which contains the label, the confidence (how sure ML Kit is of its correctness), and the entityID which references to the…
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Firebase ML Kit 3: Barcode Scanning

Barcode scanning has been around for a while, and for good reasons. it’s a great way to pass information from the real world to a digital device. If this is you’re first time encountering Firebase ML Kit, feel free to check out my introduction on it. With the new ML Kit, Firebase also offers that…
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Firebase ML Kit 2: Face Detection

Here’s the second part of the ML Kit series and its going to be Face Detection! You pass in an image and you can get the coordinates of each face’s eyes, ears, etc. and recognise facial expression like people’s sweet smiles! Or you can pass in a video then track and manipulate people’s faces in real-time…
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