---
license: mit
pretty_name: 3D-DST-models
extra_gated_fields:
  Name: text
  Affiliation: text
---
## 3D-DST-models

As part of our data release in [3D-DST](https://ccvl.jhu.edu/3D-DST/), we present **aligned CAD models** for all 1000 classes in ImageNet-1k.

See [wufeim/DST3D](https://github.com/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., airliner
  * `2`: viewing from front azimuth angles, and all elevation angles, e.g., microwave, washing machine
  * `3`: viewing from all azimuth angles, and only elevation angles when viewing from up to down, e.g., keyboard, bath tub, car, beach wagon
  * `4`: viewing from front azimuth angles, and only elevation angles when viewing from up to down, e.g., printer, stove