# KITTI Multiview
Available in:
Open SourceEnterprise
KITTI contains a suite of vision tasks built using an autonomous
driving platform.
This dataset contains the following multiview data for each scene:
- Left camera images annotated with 2D object detections
- Right camera images annotated with 2D object detections
- Velodyne LIDAR point clouds annotated with 3D object detections
The training split contains 7,481 annotated scenes, and the test split contains
7,518 unlabeled scenes.
A full description of the annotations can be found in the README of the
object development kit on the KITTI homepage.
**Details**
- Dataset name: `kitti-multiview`
- Dataset source: [http://www.cvlibs.net/datasets/kitti](http://www.cvlibs.net/datasets/kitti)
- Dataset license: CC-BY-NC-SA-3.0
- Dataset size: 53.34 GB
- Tags: `image, point-cloud, detection`
- Supported splits: `train, test`
- ZooDataset class:
[`KITTIMultiviewDataset`](../../api/fiftyone.zoo.datasets.base.md#fiftyone.zoo.datasets.base.KITTIMultiviewDataset)
**Example usage**
Python
CLI
```python
import fiftyone as fo
import fiftyone.zoo as foz
dataset = foz.load_zoo_dataset("kitti-multiview", split="train")
session = fo.launch_app(dataset)
```
```shell
fiftyone zoo datasets load kitti-multiview --split train
fiftyone app launch kitti-multiview-train
```
