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"
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).