Note
This is a Hugging Face dataset. Learn how to load datasets from the Hub in the Hugging Face integration docs.
Dataset Card for Oxford Flowers 102#
This is a FiftyOne dataset with 8189 samples.
Installation#
If you haven’t already, install FiftyOne:
pip install -U fiftyone
Usage#
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = fouh.load_from_hub("Voxel51/OxfordFlowers102")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details#
Dataset Description#
102 category dataset, consisting of 102 flower categories. The flowers chosen to be flower commonly occuring in the United Kingdom. Each class consists of between 40 and 258 images. The details of the categories and the number of images for each class can be found on this category statistics page. The images have large scale, pose and light variations. In addition, there are categories that have large variations within the category and several very similar categories.
Curated by: Nilsback, M-E. and Zisserman, A.
Language(s) (NLP): en
License: other
Dataset Sources#
Homepage: https://www.robots.ox.ac.uk/~vgg/data/flowers/102/
Paper: https://www.robots.ox.ac.uk/~vgg/publications/2008/Nilsback08/
Demo: https://try.fiftyone.ai/datasets/oxford-flowers-102/samples
Citation#
BibTeX:
@InProceedings{Nilsback08,
author = "Maria-Elena Nilsback and Andrew Zisserman",
title = "Automated Flower Classification over a Large Number of Classes",
booktitle = "Indian Conference on Computer Vision, Graphics and Image Processing",
month = "Dec",
year = "2008",
}