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
Dataset license: CC-BY-4.0
Dataset size: 1.16 GB
Tags:
image, classification
Supported splits:
N/A
ZooDataset class:
Caltech256Dataset
Example usage
1import fiftyone as fo
2import fiftyone.zoo as foz
3
4dataset = foz.load_zoo_dataset("caltech256")
5
6session = fo.launch_app(dataset)
fiftyone zoo datasets load caltech256
fiftyone app launch caltech256
