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
Dataset license: CC-BY-4.0
Dataset size: 138.60 MB
Tags: image, classification
Supported splits: N/A
ZooDataset class: Caltech101Dataset

Example usage

import fiftyone as fo
import fiftyone.zoo as foz

dataset = foz.load_zoo_dataset("caltech101")

session = fo.launch_app(dataset)

fiftyone zoo datasets load caltech101

fiftyone app launch caltech101