Project-AgML/MangoImageBD_classification

1---2configs:3- config_name: augmented4  data_files:5  - split: train6    path: augmented/train-*7- config_name: original8  default: true9  data_dir: original10- config_name: real_virtual11  data_dir: real_virtual12license: cc-by-4.013task_categories:14- image-classification15size_categories:16- 1K<n<10K17dataset_info:18- config_name: augmented19  features:20  - name: image21    dtype: image22  - name: label23    dtype:24      class_label:25        names:26          '0': Amrapali27          '1': Ashshina Classic28          '2': Ashshina Zhinuk29          '3': Banana Mango30          '4': Bari-1131          '5': Bari-432          '6': Fazli Classic33          '7': Fazli Shurmai34          '8': Gourmoti35          '9': Harivanga36          '10': Himsagor37          '11': Katimon38          '12': Langra39          '13': Rupali40          '14': Shada41  splits:42  - name: train43    num_bytes: 122210331244    num_examples: 1710945  download_size: 114286009646  dataset_size: 122210331247- config_name: original48  features:49  - name: image50    dtype: image51  - name: label52    dtype:53      class_label:54        names:55          '0': Amrapali56          '1': Ashshina Classic57          '2': Ashshina Zhinuk58          '3': Banana Mango59          '4': Bari-1160          '5': Bari-461          '6': Fazli Classic62          '7': Fazli Shurmai63          '8': Gourmoti64          '9': Harivanga65          '10': Himsagor66          '11': Katimon67          '12': Langra68          '13': Rupali69          '14': Shada70- config_name: real_virtual71  features:72  - name: image73    dtype: image74  - name: label75    dtype:76      class_label:77        names:78          '0': Amrapali79          '1': Ashshina Classic80          '2': Ashshina Zhinuk81          '3': Banana Mango82          '4': Bari-1183          '5': Bari-484          '6': Fazli Classic85          '7': Fazli Shurmai86          '8': Gourmoti87          '9': Harivanga88          '10': Himsagor89          '11': Katimon90          '12': Langra91          '13': Rupali92          '14': Shada93---94 95# Mango Classification96 97A dataset for classification of mango varieties. There are three configs: original data, real_virtual, which contains a combination of real and virtual backgrounds, and the augmented dataset.  98The original and real_virtual datasets contains 5,703 images.  99Images per class:100- Amrapali: 135101- Ashshina Classic: 571102- Ashshina Zhinuk: 1286103- Banana Mango: 83104- Bari-11: 1244105- Bari-4: 74106- Fazli Classic: 171107- Fazli Shurmai: 247108- Gourmoti: 630109- Harivanga: 265110- Himsagor: 106111- Katimon: 424112- Langra: 120113- Rupali: 184114- Shada: 163115 116The augmented version contains 17,109 images.  117Images per class:118- Amrapali: 405119- Ashshina Classic: 1713120- Ashshina Zhinuk: 3858121- Banana Mango: 249122- Bari-11: 3732123- Bari-4: 222124- Fazli Classic: 513125- Fazli Shurmai: 741126- Gourmoti: 1890127- Harivanga: 795128- Himsagor: 318129- Katimon: 1272130- Langra: 360131- Rupali: 552132- Shada: 489133 134This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. 135 136## Citation 137 138```bibtex139@article{ferdaus2025mangoimagebd,140  title={Mangoimagebd: An extensive mango image dataset for identification and classification of various mango varieties in bangladesh},141  author={Ferdaus, Md Hasanul and Prito, Rizvee Hassan and Ahmed, Masud and Islam, Mohammad Manzurul and Ali, Md Sawkat and Ibrahim, Muhammad and Rasel, Ahmed Abdal Shafi and Islam, Maheen and Jabid, Taskeed and Rahman, Md Atiqur and others},142  journal={Data in Brief},143  pages={111908},144  year={2025},145  publisher={Elsevier}146}147```148 149Ferdaus, Md Hasanul; Prito, Rizvee Hassan; Ahmed, Masud ; Rahoman, Md Mizanur; Islam, Mohammad Manzurul; Ali, Sawkat; Islam, Maheen; Rasel, Ahmed Abdal Shafi; Rahman, Md. Atiqur; Jabid, Taskeed; Ibrahim, Muhammad (2024), “MangoImageBD: An Extensive Image Dataset of Common and Popular Mango Varieties in Bangladesh for Identification and Classification”, Mendeley Data, V2, doi: 10.17632/hp2cdckpdr.2