# Caltech-256 The Caltech-256 dataset of images. The dataset consists of pictures of objects belonging to 256 classes, plus one background clutter class (`clutter`). Each image is labelled with a single object. Each class contains between 80 and 827 images, totalling 30,607 images. Images are of variable sizes, with typical edge lengths of 80-800 pixels. **Details** - Dataset name: `caltech256` - Dataset source: [https://data.caltech.edu/records/nyy15-4j048](https://data.caltech.edu/records/nyy15-4j048) - Dataset license: CC-BY-4.0 - Dataset size: 1.16 GB - Tags: `image, classification` - Supported splits: `N/A` - ZooDataset class: [`Caltech256Dataset`](../../api/fiftyone.zoo.datasets.base.md#fiftyone.zoo.datasets.base.Caltech256Dataset) **Example usage** Python CLI ```python import fiftyone as fo import fiftyone.zoo as foz dataset = foz.load_zoo_dataset("caltech256") session = fo.launch_app(dataset) ``` ```shell fiftyone zoo datasets load caltech256 fiftyone app launch caltech256 ```