3D Detections – FiftyOne Tips and Tricks – September 29th, 2023

This week's FiftyOne tips and tricks blog focuses on creating 3D detections in LIDAR or point cloud datasets. The article introduces the open source machine learning toolset, FiftyOne, which helps data science teams improve their computer vision models by curating high-quality datasets, evaluating models, finding mistakes, visualizing embeddings, and getting to production faster. 3D detection is a crucial aspect of computer vision in applications such as autonomous driving, robotics, and augmented reality. In FiftyOne, detections are defined with labels and bounding boxes for either 2D or 3D spaces. The article demonstrates how to create basic 3D bounding boxes, modify their location and dimensions, rotate them, and use 3D polylines. Additionally, it explains the importance of orthographic projections in creating thumbnails for LIDAR samples and improving dataset curation.