# Quickstart A small dataset with ground truth bounding boxes and predictions. The dataset consists of 200 images from the validation split of COCO-2017, with model predictions generated by an out-of-the-box Faster R-CNN model from [torchvision.models](https://pytorch.org/docs/stable/torchvision/models.html). **Details** - Dataset name: `quickstart` - Dataset size: 23.40 MB - Dataset license: CC-BY-4.0 - Tags: `image, quickstart` - Supported splits: `N/A` - ZooDataset class: [`QuickstartDataset`](../../api/fiftyone.zoo.datasets.base.md#fiftyone.zoo.datasets.base.QuickstartDataset) **Example usage** Python CLI ```python import fiftyone as fo import fiftyone.zoo as foz dataset = foz.load_zoo_dataset("quickstart") session = fo.launch_app(dataset) ``` ```shell fiftyone zoo datasets load quickstart fiftyone app launch quickstart ```