README.md

metadata

license: mit
task_categories:
  - image-classification
tags:
  - biology
size_categories:
  - n<1K

Hymenoptera

This dataset contains images of various types of Hymenoptera. The set is split into a training set of 245 images and a validation set with 153 images. It can be used for image classification training.

Folder Structure

├── train/
│   ├── ants/
│   └── bees/
└── val/
    ├── ants/
    └── bees/

Useful Statistics

Average pixel values for each color channel (RGB) for all images in the training set.
mean: [0.5172, 0.4753, 0.3484]

Standard deviation of pixel values for each color channel (RGB) for all images in the training dataset.
std: [0.2776, 0.2575, 0.2865]

Dataset citation: Elsik, C. G., Tayal, A., Diesh, C. M., Unni, D. R., Emery, M. L., Nguyen, H. N., Hagen, D. E. Hymenoptera Genome Database: integrating genome annotations in HymenopteraMine. Nucleic Acids Research, 2016, Jan. 4; 44(D1):D793-800. DOI: 10.1093/nar/gkv1208. Epub 2015, Nov. 17. PubMed PMID: 26578564.