# Caltech-101 The Caltech-101 dataset of images. The dataset consists of pictures of objects belonging to 101 classes, plus one background clutter class (`BACKGROUND_Google`). Each image is labelled with a single object. Each class contains roughly 40 to 800 images, totalling around 9,000 images. Images are of variable sizes, with typical edge lengths of 200-300 pixels. This version contains image-level labels only. **Details** - Dataset name: `caltech101` - Dataset source: [https://data.caltech.edu/records/mzrjq-6wc02](https://data.caltech.edu/records/mzrjq-6wc02) - Dataset license: CC-BY-4.0 - Dataset size: 138.60 MB - Tags: `image, classification` - Supported splits: `N/A` - ZooDataset class: [`Caltech101Dataset`](../../api/fiftyone.zoo.datasets.base.md#fiftyone.zoo.datasets.base.Caltech101Dataset) **Example usage** Python CLI ```python import fiftyone as fo import fiftyone.zoo as foz dataset = foz.load_zoo_dataset("caltech101") session = fo.launch_app(dataset) ``` ```shell fiftyone zoo datasets load caltech101 fiftyone app launch caltech101 ```