How I Built an In-Cabin Perception Dataset

In this blog post, Robert Wright shares his experience of building a dataset for an in-cabin monitoring use case using Voxel51's open source AI tool, FiftyOne. He collected data using his wife's iPhone and a car mount, then loaded the data into both the open source and enterprise versions of FiftyOne. By applying various models such as MediaPipe Face Detection and Face Landmarker pipelines, he gained insights into driver distractions, eye gaze, and facial expressions. The author also highlights the collaboration features of FiftyOne Teams, which allowed him to work with Voxel51 ML engineer Allen Lee on this project.

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