| --- |
| 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 |
|
|
| ```bibtex |
| @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.* |
