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Description
An annotated dataset of 3D CAD models for training reverse engineering models. It contains raw CAD data, rendered images from multiple viewpoints, and semantic part labels. The dataset includes train/test splits for three furniture categories, including over 2,000 annotated chairs.
Use Cases
Train models for semantic part segmentation based on annotated CAD geometry.
Develop image-to-CAD reconstruction models using the paired rendered images and CAD data.
Benchmark reverse engineering algorithms on furniture categories like chairs.
Train multi-view 3D understanding models using the rendered images from multiple viewpoints.
Strengths
Includes over 2,000 annotated chair models.
Provides data in multiple formats: raw CAD data in HDF5 and rendered images.
Contains semantic part labels and annotations for supervised learning.
Limitations
Description metadata is limited; actual data quality requires manual inspection after download.
Row count is unknown, which may limit suitability assessment.
Column-level documentation is absent; field semantics must be inferred after download.
Provenance
Source
huggingface user qq456cvb
Freshness
Last updated 2026-02-04 22:52:34; freshness should be verified.
License is unknown; users should verify terms before use.