Datasets for Fine-Grained Image Classification
- iNat2017
- iNat2018 and iNat2019
- Data: https://github.com/visipedia/inat_comp/blob/master/2018/README.md
- Data: https://github.com/visipedia/inat_comp
- Details: The dataset is similar to iNat2017 with small differences, which are mentioned in the website.
- Herbarium Dataset
- Cassava (leaves) images
- Birds
- Paper: https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Horn_Building_a_Bird_2015_CVPR_paper.pdf
- Animal Species (camera trap)
- UCSD Birds 200
- Data: http://www.vision.caltech.edu/visipedia/CUB-200.html
- Paper: https://authors.library.caltech.edu/27452/1/CUB_200_2011.pdf
- Birdsnap Large-scale Fine-grained Visual Categorization of Birds
- Data: Link doesn’t work anymore.
- Paper: https://openaccess.thecvf.com/content_cvpr_2014/papers/Berg_Birdsnap_Large-scale_Fine-grained_2014_CVPR_paper.pdf
- Stanford Dogs
- Data: http://vision.stanford.edu/aditya86/ImageNetDogs/
- Paper: https://people.csail.mit.edu/khosla/papers/fgvc2011.pdf
- Oxford Dogs
- Data:https://www.robots.ox.ac.uk/~vgg/data/pets/
- Paper:https://www.robots.ox.ac.uk/~vgg/publications/2012/parkhi12a/parkhi12a.pdf
- Flowers
Srishti Yadav
Research Assistant
My research interest include applying computationally intensive machine learning algorithm to computer vision algoritmns.