Custom Snap Lens development with ML, annotating objects in AR, on-device digit recognizer in Flutter, and more. Building and implementing a custom image segmentation model.
Building and implementing a custom image segmentation model for use in a Snapchat Lens. In my last post, I covered some of the difficulties of working with custom neural networks in Lens Studio.
This tutorial explains how to use Core ML and ARKit to annotate recognized objects in a native iOS app
Hi Heartbeat Readers, Tensions have escalated, with legal action and a contentious back and forth between the two companies. You can read much more about the ongoing dispute here.
Exploring SnapML: Working with Custom Neural Networks in Lens Studio. Key considerations to keep in mind when working with custom neural networks in SnapML and Lens Studio.
Build your own custom artistic Lens with SnapML and Style Transfer. Artistic style transfer is one of the most intuitive and accessible computer vision tasks out there.
This week, we’ve got the latest in Ahmed Gad’s series on building a federated learning pipeline, a couple of new ML Kit tutorials, and a look at Alibaba’s mobile deep learning solution.
A sample from our new ebook: “Mobile ML in E-commerce and Retail” When it comes to retail and e-commerce, the AI revolution is already here. From AI-enhanced search and at-home product demos to clothing/accessory try-on applications, machine learning is increasingly baked into shopping experiences, both in-store and online.
A focused look at research from CVPR 2020 that touched or has implications for mobile or edge-related tasks
The Heartbeat Newsletter: Volume 1 Greetings Heartbeat Readers & Community,