The Caltech-101 dataset.
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.
- Dataset name:
voxel51/caltech101 - Dataset source: https://data.caltech.edu/records/mzrjq-6wc02
- Dataset size: 150 MB
- Number of images: 9,145
- Tags:
image, classification
import fiftyone as fo
import fiftyone.zoo as foz
dataset = foz.load_zoo_dataset("https://github.com/voxel51/caltech101")
session = fo.launch_app(dataset)