README.md

---
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. <br>
`mean: [0.5172, 0.4753, 0.3484]`

Standard deviation of pixel values for each color channel (RGB) for all images in the training dataset. <br>
`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.