Author: Fritz

In order for data science teams to outsource annotation to a managed workforce provider — also known as a Business Process Outsourcer (BPO) — they must first have the tools and infrastructure to store and manage their training data.

Data management tools and infrastructure should support R&D product management teams, outsourced labeling teams, and internal labeling and review teams, working together in a single centralized place with fully transparent oversight.

Continue reading “How to Scale Training Data – Complete Guide”

Every day, our world is becoming more mobile, with more than 2 billion smartphones circulating globally. As such, mobile development has the potential to reach all corners and aspects of the modern world. This is equally true when it comes to machine learning.

Building machine learning models that we can use on mobile will open endless avenues for creativity, automation, and efficiency. But there’s a significant knowledge gap between mobile development and machine learning.

Continue reading “Using TensorFlow Lite and ML Kit to build custom machine learning models for Android”

In this post, we are going to understand the underlying concepts of semantic image inpainting and various techniques developed for the same.

However, we are going to focus on an effective and elegant state-of-the-art context encoder and generative model based approach for image inpainting.

Continue reading “Semantic Image Inpainting with Context Encoders”

Regular attendees of tech conferences might have noticed that pushing toward AI and machine learning is one thing that’s consistent across all tech giants, including Apple , Google , Amazon, and Microsoft.

For example, this year’s Google I / O was largely focused on machine learning, artificial intelligence, and how it’s going to revolutionize the world.

And me, as an Android developer and someone who has a bad case of FOMO, I started looking into any and all resources that could help me get a kickstart with using machine learning and AI in my development projects.

Continue reading “Embracing Machine Learning as a Mobile Developer”

Tween Manager is used in making custom animations within Lens Studio. This helps you make your lenses more engaging and captivating. You also don’t need to write any code. In this article, you will learn how the different types of tweens works.

Continue reading “Tween Manager in Lens Studio”

In our post from about a month ago, we compared two of the major on-device text recognition SDKs on iOS: Firebase’s ML Kit & Tesseract OCR. The results were pretty one-sided, as ML Kit outclassed Tesseract on many of the predictions and showed much better accuracy even when it failed.

Continue reading “Comparing Firebase ML Kit’s Text Recognition on Android & iOS”

Mobile ML, Retail, and E-Commerce

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.

Continue reading “Mobile Machine Learning in E-commerce and Retail: Visual Search [Ebook Sample]”