Leeds Butterfly Dataset

This dataset contains images and textual descriptions for ten categories (species) of butterflies.

The image dataset comprises 832 images in total, with the distribution ranging from 55 to 100 images per category. Images were collected from Google Images by querying with the scientific (Latin) name of the species, for example "Danaus plexippus", and manually filtered for those depicting the butterfly of interest.

The textual descriptions for each butterfly category were obtained from the eNature online nature guide.

The ZIP file contains:

• The image dataset for ten butterfly categories
• Segmentation masks for each image
• Textual descriptions for each butterfly category

For more details please refer to the README file contained in the ZIP file.

If you use this dataset please cite the following work:

Josiah Wang, Katja Markert, and Mark Everingham
Learning Models for Object Recognition from Natural Language Descriptions
In Proceedings of the 20th British Machine Vision Conference (BMVC2009)

@InProceedings{Wang09,
   title = "Learning Models for Object Recognition from Natural Language Descriptions",
   author = "Josiah Wang and Katja Markert and Mark Everingham",
   booktitle = "Proceedings of the British Machine Vision Conference",
   year = "2009"
}
							

• Josiah Wang, Katja Markert, and Mark Everingham. "Learning Models for Object Recognition from Natural Language Descriptions". In Proceedings of the 20th British Machine Vision Conference (BMVC2009), September 2009.
  Download: [ Paper | Presentation Slides | Video Lecture (BMVC2009) ]