datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Uddessho-Bangla-Multimodal-Intent-Classification
📊 Uddessho Dataset — Multimodal Author Intent Classification
Uddessho (meaning "Intent" in English) is a multimodal dataset created for author intent classification in the low-resource Bangla language.It contains 3,048 social media posts (text + images) labeled into six distinct intent types.
🏷️ Intent Categories & Label Mapping
Label ID
Class Name
0
Advocative
1
Controversial
2
Exhibitionist
3
Expressive
4
Informative
5
Promotive
📂… See the full description on the dataset page: https://huggingface.co/datasets/Mukaffi28/Uddessho-Bangla-Multimodal-Intent-Classification.papaya_leaf_disease_classification_bangladesh
Papaya Leaf Disease Classification Bangladesh
A dataset for disease classification of Papaya leaves. The dataset contains raw and augmented versions.The raw dataset contains 1,400 images.Images per class:
Healthy Leaf: 182
Leaf Curl: 284
Mealybug: 233
Mite Disease: 243
Mosaic: 214
Ring Spot: 244
The augmented dataset contains 6,618 images.Images per class:
Healthy Leaf: 879
Leaf Curl: 1,334
Mealybug: 1,096
Mite Disease: 1,149
Mosaic: 1,009
Ring Spot: 1,151
This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/papaya_leaf_disease_classification_bangladesh.rice_variety_classification_bangladesh
Rice Variety Classification Bangladesh
A dataset for image classification of rice varieties.The raw dataset contains 19,000 images, with 500 per class.The augmented dataset contains 76,000 images, with 2,000 per class.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{tahsin2024extensive,
title={An extensive image dataset for deep learning-based classification of rice kernel varieties in Bangladesh}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/rice_variety_classification_bangladesh.bangladeshi-food
Bangladeshi Food — Permissive Subset
An open image-classification dataset of Bangladeshi food. Every image is
under a permissive Creative Commons license (CC0, CC-BY, CC-BY-SA), Public
Domain, or GFDL. Safe for research and commercial use under the terms of
CC BY-SA 4.0 (the most restrictive license present), provided you
preserve attribution.
This is the public, redistributable subset of a larger 1,041-class
Bangladeshi food taxonomy. Classes whose only available images had… See the full description on the dataset page: https://huggingface.co/datasets/tanziro/bangladeshi-food.cotton_leaf_disease_classification_bangladesh_2
Cotton Leaf Disease Classification Bangladesh 2
A dataset for disease classification of cotton leaves. The dataset contains raw and augmented versions.The raw dataset contains 2,137 images.Images per class:
Bacterial Blight: 250
Curl Virus: 431
Healthy Leaf: 257
Herbicide Growth Damage: 280
Leaf Hopper Jassids: 225
Leaf Redding: 578
Leaf Variegation: 116
The augmented dataset contains 7,000 images.Images per class:
Bacterial Blight: 1,000
Curl Virus: 1,000
Healthy Leaf: 1,000… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/cotton_leaf_disease_classification_bangladesh_2.BanglaPoliticalStance
BanglaPoliticalStance
A large-scale Bangla multimodal dataset for political stance detection, containing 14,719 news items (headlines + photos) from 392 Bangladeshi news outlets.
Dataset Summary
BanglaPoliticalStance is the first large-scale multimodal Bangla political stance detection dataset. Each item consists of a news headline in Bangla and its accompanying photograph, collected from major Bangladeshi news portals. The dataset supports three-way stance… See the full description on the dataset page: https://huggingface.co/datasets/kishormorol/BanglaPoliticalStance.tea_leaf_disease_classification_bangladesh
Tea Leaf Disease Classification Bangladesh
A dataset for disease classification of tea leaves. The dataset contains 3,960 images across 4 classes: Healthy, Tea leaf blight, Tea red leaf spot, Tea red scab.
Images per class:
Healthy: 2,270
Tea leaf blight: 509
Tea red leaf spot: 561
Tea red scab: 620
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{bormon2025high,
title={High-resolution dataset for… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/tea_leaf_disease_classification_bangladesh.vegetable_classification_bangladesh
Vegetable Classification Banglades
A dataset for image classification of various types of vegetables. The dataset contains 4,319 images across 12 classes: Bean, Bitter melon, Brinjal, Cucumber, Garlic, Green Chili, Ladies finger, Onion, Pointed gourd, Potato, Radish, Tomato.
Images per class:
Bean: 454
Bitter melon: 306
Brinjal: 373
Cucumber: 342
Garlic: 349
Green Chili: 497
Ladies finger: 308
Onion: 357
Pointed gourd: 329
Potato: 365
Radish: 310
Tomato: 329
This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/vegetable_classification_bangladesh.rice_disease_classification_bangladesh
Rice Disease Classification
A dataset for image classification of Rice Disease. The dataset contains raw and augmented versions.The raw dataset contains 2,769 images.Images per class:
Healthy: 603
Insect: 281
Leaf Scald: 421
Rice: 16
Rice Blast: 696
Rice Leaffolder: 247
Rice Stripes: 266
Rice Tungro: 239
The augmented dataset contains 18,536 images.Images per class:
Healthy: 3,995
Insect: 2,084
Leaf scald: 2,619
Rice: 128
Rice Blast: 4,450
Rice Leaffolder: 1,658
Rice Stripes:… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/rice_disease_classification_bangladesh.guava_disease_classification_bangladesh
Guava Disease Classification Bangladesh
A dataset for image classification of Guava Disease Classification Bangladesh. The dataset contains raw and augmented versions.The raw dataset contains 527 images.Images per class:
Disease Free: 126
Phytopthora: 114
Red rust: 87
Scab: 106
Styler and Root: 94
The augmented dataset contains 4,899 images.Images per class:
Disease Free: 876
Phytopthora: 942
Red rust: 1,154
Scab: 864
Styler and Root: 1,063
This dataset is indexed on… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/guava_disease_classification_bangladesh.bangladressnet
🇧🇩 BanglaDressNet: Traditional Bangladeshi Dress Dataset (Novel Dataset)
📄 Context
Official dataset for the research paper:
"Multi-Level Ensemble Learning for Fine-Grained Classification of Traditional Bangladeshi Dress Using Deep Transfer Models"
Accepted at: 2025 7th International Conference on Electrical Information and Communication Technology (EICT)
This dataset, BanglaDressNet, contains 8,000 images of 16 categories of traditional Bangladeshi attire… See the full description on the dataset page: https://huggingface.co/datasets/musfiqurtuhin/bangladressnet.