# Quickstart 3D
Available in:
Open SourceEnterprise
A small 3D dataset with meshes, point clouds, and oriented bounding boxes.
The dataset consists of 200 3D mesh samples from the test split of the
[ModelNet40](https://modelnet.cs.princeton.edu) dataset, with point
clouds generated using a Poisson disk sampling method, and oriented
bounding boxes generated based on the convex hull.
Objects have been rescaled and recentered from the original dataset.
**Details**
- Dataset name: `quickstart-3d`
- Dataset size: 215.7 MB
- Dataset license: [https://modelnet.cs.princeton.edu](https://modelnet.cs.princeton.edu)
- Tags: `3d, point-cloud, mesh, quickstart`
- Supported splits: `N/A`
- ZooDataset class:
[`Quickstart3DDataset`](../../api/fiftyone.zoo.datasets.base.md#fiftyone.zoo.datasets.base.Quickstart3DDataset)
**Example usage**
Python
CLI
```python
import fiftyone as fo
import fiftyone.zoo as foz
dataset = foz.load_zoo_dataset("quickstart-3d")
session = fo.launch_app(dataset)
```
```shell
fiftyone zoo datasets load quickstart-3d
fiftyone app launch quickstart-3d
```
