3D-DST-models
As part of our data release in 3D-DST, we present aligned CAD models for all 1000 classes in ImageNet-1k.
See wufeim/DST3D for synthetic data generation with 3D annotations using the CAD models here.
Besides the .csv
file as visualized in the dataset viewer above, we also provide a python script (models_3d_dst.py
) to help integrate with other Python modules.
Fields
For each CAD model, there are seven fields:
- synset: synset associated with each ImageNet-1k class.
- model: model ID from ShapeNet, Objaverse, or OmniObject3D
- distance: corrected distance -- our rendering code normalize object sizes automatically, correct the rendering distance if the normalization fails
- azimuth and elevation: viewpoint parameters used to align the canonical pose of all CAD models
- strength:
1
if the current CAD model is good;2
if the current CAD model only approximates the current synset - sampling: one of the four sampling strategies here:
1
: viewing from all azimuth angles, and all elevation angles, e.g., airliner2
: viewing from front azimuth angles, and all elevation angles, e.g., microwave, washing machine3
: viewing from all azimuth angles, and only elevation angles when viewing from up to down, e.g., keyboard, bath tub, car, beach wagon4
: viewing from front azimuth angles, and only elevation angles when viewing from up to down, e.g., printer, stove
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