Leveraging Active Learning for Big Data

In this chapter, we will explore how to use machine learning (ML) to deal with big data, such as videos. The task of developing ML models for video analysis comes with its own set of unique challenges. Videos, being inherently large, pose significant hurdles in terms of efficient processing. Video analysis using ML has become an increasingly important technique across many industries and applications. From autonomous vehicles that rely on computer vision models to analyze road conditions in real-time video feeds, to security systems that can automatically detect suspicious activity, ML is revolutionizing what’s possible with video data. These models can automate time-consuming manual analysis and provide scalable video understanding. Implementing performant and scalable video analysis pipelines involves surmounting key hurdles such as an enormous amount of data labeling.

We will guide you through a cutting-edge ML method that will aid...