Datasets:
metadata
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Akca Pear
'1': Amasya Apple
'2': Angeleno Plum
'3': Austria Everbearing Mulberry
'4': Avocado
'5': Bardacik Fig
'6': Bilecik Walnut
'7': Black Diamond Plum
'8': Black Fig
'9': Black Mulberry
'10': Black Splendor Plum
'11': Carob
'12': Chestnut
'13': Chocolate Persimmon
'14': Cornelian Cherry
'15': Deveci Pear
'16': Duke Blueberry
'17': Egrisap Pear
'18': Ekmek Quince
'19': Esme Quince
'20': Feijoa
'21': Ferragnes Almond
'22': Fortune Plum
'23': Fuji Apple
'24': Golden Apple
'25': Granny Smith Apple
'26': Hachiya Persimmon
'27': Hale Peach
'28': Hazelnut
'29': Igdir Apricot
'30': Jujube
'31': Kagizman Long Apple
'32': Kiwi
'33': Kumquat
'34': Kutahya Sour Cherry
'35': Lemon
'36': Loquat
'37': Margarita Marilla Pear
'38': Medlar
'39': Murdum Plum
'40': Napolyon Cherry
'41': Nashi Pear
'42': Orange
'43': Papaz Plum
'44': Patlican Fig
'45': Pomegranate
'46': Red Azarol
'47': Red Haven Peach
'48': Red Nectarine
'49': Redlove Apple
'50': Santa Maria Pear
'51': Sebin Walnut
'52': Sekerpare Apricot
'53': Show Time Plum
'54': Sour Cherry
'55': Starking Apple
'56': Strawberry Tree
'57': White Mulberry
'58': White Nectarine
'59': Wild Strawberry
'60': Wild Walnut
'61': Yellow Cherry
'62': Yellow Peach
'63': Ziraat 0900 Cherry
splits:
- name: train
num_bytes: 17671829616
num_examples: 5815
download_size: 17375871060
dataset_size: 17671829616
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
Sapbark 64 Variety Classification
A dataset for variety classification of sapling bark of fruit trees. The dataset contains 5,815 images across 64 classes.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{alizadeh2025sapbark,
title={SapBark-64: A dataset of bark images for 64 fruit-tree sapling classes},
author={Alizadeh, Sayyad and Shamsi, Hamed},
journal={Data in Brief},
pages={112354},
year={2025},
publisher={Elsevier}
}
ALIZADEH, S. (2025). SapBark-64: A dataset of bark images for 64 fruit-tree sapling classes (Version v1.0) [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.17196298
This dataset was reformatted from its original format to match HuggingFace standards.