Mango Classification A 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. The original and real virtual datasets contains 5,703 images. Images per class: Amrapali: 135 Ashshina Classic: 571 Ashshina Zhinuk: 1286 Banana Mango: 83 Bari 11: 1244 Bari 4: 74 Fazli Classic: 171 Fazli Shurmai: 247 Gourmoti: 630 Harivanga: 265 Himsagor: 106 Katimon: 424 Langra: 120 Rupali: 184 Shada: 163 The augmented version contains 17,109 images. Images per class: Amrapali: 405 Ashshina Classic: 1713 Ashshina Zhinuk: 3858 Banana Mango: 249 Bari 11: 3732 Bari 4: 222 Fazli Classic: 513 Fazli Shurmai: 741 Gourmoti: 1890 Harivanga: 795 Himsagor: 318 Katimon: 1272 Langra: 360 Rupali: 552 Shada: 489 This dataset is indexed on https://project agml.github.io/ as part of the AgML python library. Citation Ferdaus, 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…
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