Quickstart Trajectories#
A small video dataset for trajectory annotation.
The dataset consists of the same 10 video segments as
quickstart-video, but the per-frame
object detections are linked across frames into object trajectories via the
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:
dataset.compute_metadata()
dataset.to_frames(sample_frames=True)
Details
Dataset name:
quickstart-trajectoriesDataset size: 35.20 MB
Dataset license: CC-BY-4.0
Tags:
video, quickstartSupported splits:
N/AZooDataset class:
QuickstartTrajectoriesDataset
Example usage
1import fiftyone as fo
2import fiftyone.zoo as foz
3
4dataset = foz.load_zoo_dataset("quickstart-trajectories")
5
6session = fo.launch_app(dataset)
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.