---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': araucaria_excelsa
          '1': chinese_fan_palm
          '2': chinese_hackberry
          '3': chinese_tallow_tree
          '4': comphor_tree
          '5': formosan_sweet_gum
          '6': honduras_mahogany
          '7': hoop_pine
          '8': indian_walnut
          '9': indigenous_cinnamon_tree
          '10': macaranga
          '11': marabutan
          '12': royal_palm
          '13': silk_floss_tree
          '14': white_barkfig
  splits:
  - name: train
    num_bytes: 720396640
    num_examples: 224
  - name: test
    num_bytes: 429531935
    num_examples: 132
  - name: validation
    num_bytes: 406231409
    num_examples: 122
  download_size: 1554491709
  dataset_size: 1556159984
task_categories:
- image-classification
tags:
- biology
pretty_name: NTU-Stem
size_categories:
- n<1K
license: cc-by-nc-4.0
---
# Dataset Card for "NTU-Stem"

![sample](sample.png)

The National Taiwan University (NTU) campus is home to a diverse array of tree species in Taiwan. However, many of these species may be difficult to distinguish for the average person. In an effort to increase familiarity with the campus’s natural beauty, a dataset of tree stem pictures was collected using personal cellphones.

The NTU Tree Dataset is a few-shot learning dataset that contains images of 15 different tree species, such as Royal Palm, Indigenous Cinnamon Tree, and White Barkfig.

Each species class contains 8 to 16 training images, and the remaining 8 to 10 images serve as test data.

## Acknowledgements

This dataset was collected by the students of National Taiwan University in Graduate Institute of Networking and Multimedia (GINM) and the Department of Computer Science and Information Engineering (CSIE).