# Quickstart Trajectories A small video dataset for trajectory annotation. The dataset consists of the same 10 video segments as [quickstart-video](quickstart_video.md#dataset-zoo-quickstart-video), but the per-frame object detections are linked across frames into object trajectories via the [`Instance`](../../api/fiftyone.core.labels.md#fiftyone.core.labels.Instance) values in their `instance` attributes (the legacy `index` attribute has been removed). #### NOTE Before annotating trajectories, you must compute video metadata and sample the videos into frames: ```python dataset.compute_metadata() dataset.to_frames(sample_frames=True) ``` **Details** - Dataset name: `quickstart-trajectories` - Dataset size: 35.20 MB - Dataset license: CC-BY-4.0 - Tags: `video, quickstart` - Supported splits: `N/A` - ZooDataset class: [`QuickstartTrajectoriesDataset`](../../api/fiftyone.zoo.datasets.base.md#fiftyone.zoo.datasets.base.QuickstartTrajectoriesDataset) **Example usage** Python CLI ```python import fiftyone as fo import fiftyone.zoo as foz dataset = foz.load_zoo_dataset("quickstart-trajectories") session = fo.launch_app(dataset) ``` ```shell fiftyone zoo datasets load quickstart-trajectories fiftyone app launch quickstart-trajectories ``` #### NOTE In order to work with video datasets, you’ll need to have [ffmpeg installed](../../installation/troubleshooting.md#troubleshooting-video).