Explain 3D geometry data

Q: Explain 3D geometry data

This is a Machine Learning interview question from Autodesk for Machine Learning Engineer roles. View the full question and solution on PracHub.

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Question

3D Geometry Data: Representations, Preprocessing, Modeling, and Serving

Prompt

You are working with 3D geometry data in ML pipelines for tasks such as classification, segmentation, detection, reconstruction, and simulation support. Explain:

Common 3D data representations (e.g., point clouds, meshes, voxels) and when to use each.
Typical preprocessing and augmentation steps for 3D data, including pitfalls.
How to model such data: architecture choices, losses, and metrics.
How to store, load, and serve 3D data efficiently for training and inference in production.

Make any minimal assumptions needed and be explicit about them.

Explain 3D geometry data

3D Geometry Data: Representations, Preprocessing, Modeling, and Serving

Prompt

Solution (Locked)

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