Voxel51/OxfordFlowers102

Dataset Card for Oxford Flowers 102

[image]

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

<!-- Provide the basic links for the dataset. -->

• —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

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

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",
}

Dataset Card Authors

Jacob Marks