# KITTI KITTI contains a suite of vision tasks built using an autonomous driving platform. This dataset contains the left camera images and the associated 2D object detections. The training split contains 7,481 annotated images, and the test split contains 7,518 unlabeled images. 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` - Dataset source: [http://www.cvlibs.net/datasets/kitti](http://www.cvlibs.net/datasets/kitti) - Dataset license: CC-BY-NC-SA-3.0 - Dataset size: 12.57 GB - Tags: `image, detection` - Supported splits: `train, test` - ZooDataset class: [`KITTIDataset`](../../api/fiftyone.zoo.datasets.base.md#fiftyone.zoo.datasets.base.KITTIDataset) **Example usage** Python CLI ```python import fiftyone as fo import fiftyone.zoo as foz dataset = foz.load_zoo_dataset("kitti", split="train") session = fo.launch_app(dataset) ``` ```shell fiftyone zoo datasets load kitti --split train fiftyone app launch kitti-train ```