我们创建了一个 102 个类别的数据集，由 102 个花卉类别组成。花选为英国常见的花。每个类由 40 到 258 张图像组成。可以在此类别统计页面上找到类别的详细信息和每个类别的图像数量。
图像具有大尺度、姿势和光线变化。此外，还有类别内差异较大的类别和几个非常相似的类别。数据集使用具有形状和颜色特征的 isomap 进行可视化。
Directory Structure
> dataset > train > valid > test - cat_to_name.json - README.md - sample_submission.csv
Visualization of the dataset
We visualize the categories in the dataset using SIFT features as shape descriptors and HSV as colour descriptor. The images are randomly sampled from the category.
Publications
Nilsback, M-E. and Zisserman, A.
Automated flower classification over a large number of classes
Proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing (2008)
Source
Original source of this data can be found in 102 Category Flower Dataset
Original readme from author can be found in AUTHOR README
Directory test is added from another kaggle dataset that can be found in Oxford 102 Flower Pytorch