This guide provides a step-by-step beginner-friendly approach to building a custom video dataset pipeline with TensorFlow.
The class discussed in the guide allows users to convert raw video folders into TensorFlow datasets, making it suitable for both research and real-world use.
The guide covers the process of loading video files, shuffling paths, and one-hot encoding labels.
The custom VideoDatasetLoader class simplifies the process of preparing video data for training pipelines.