datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ricemaize
🌾 Rice & Maize Crop Disease & Pest Detection Dataset
A comprehensive dataset containing 29,052 images for Rice and Maize crop health monitoring, disease identification, and pest detection.
📊 Dataset Structure
1. Maize (maize/) — 10,445 Images (9 Classes)
Diseases: Common Rust, Gray Leaf Spot, Northern Leaf Blight, Ear Rot
Healthy: Healthy Maize
Pests: Fall Armyworm, Stem Borer, Corn Borer, Army Worm
2. Rice (rice/) — 18,607 Images… See the full description on the dataset page: https://huggingface.co/datasets/shanmuga12234/ricemaize.rice_leaf_disease_classification
Rice Leaf Disease Classification
A dataset for image classification of Rice Leaf Disease Classification. The dataset contains 3,829 images across 6 classes: Bacterial_Leaf_Blight, Brown_Spot, Healthy_Rice_Leaf, Leaf_Blast, Leaf_Scald, Sheath_Blight.Images per class:
Bacterial_Leaf_Blight: 636
Brown_Spot: 646
Healthy_Rice_Leaf: 653
Leaf_Blast: 634
Leaf_Scald: 628
Sheath_Blight: 632
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/rice_leaf_disease_classification.rice_leaf_disease_classification_india
Rice Leaf Disease Classification India
A dataset for disease classification of rice leaves. The dataset contains 5,932 images across 4 classes: Bacterialblight, Blast, Brownspot, Tungro.Images per class:
Bacterialblight: 1,584
Blast: 1,440
Brownspot: 1,600
Tungro: 1,308
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{sethy2020deep,
title={Deep feature based rice leaf disease identification using… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/rice_leaf_disease_classification_india.ICW
Individual Cats in the Wild (ICW)
ICW is an identity-disjoint benchmark for individual cat identification in
unconstrained images. It contains 82,791 JPEG images of 19,877 individual
cats, collected from six public adoption and rescue platforms and curated for
fine-grained recognition and image retrieval research.
ICW accompanies the MeowID project:
MeowID: A Dual-Expert Retrieval System for Individual Cat Identification
Zhangchi Hu, Yi Shang, Haocheng Yang, Qiwei Hu, and… See the full description on the dataset page: https://huggingface.co/datasets/RicePasteM/ICW.Dhan-Shomadhan_rice_leaf_disease_classification
Dhan Shomadhan Rice Leaf Disease Classification
This dataset provides real-world RGB images of rice leaves affected by multiple disease symptoms, captured under natural agricultural conditions. It offers a practical resource for developing and evaluating computer vision models in agricultural disease detection and monitoring applications. The dataset contains 1,106 images across 8 classes: Brown Spot, Browon Spot, Leaf Scaled, Rice Blast, Rice Tungro, Rice Turgro, Shath Blight… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/Dhan-Shomadhan_rice_leaf_disease_classification.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.Basmati_rice_seed_varitey_classification
Basmati Rice Seed Varitey Classification
A dataset for variety classification of Basmati Rice Seeds. The dataset contains 3,210 images across 11 classes: 1121, 1509, 1637, 1718, 1728, BAS_370, CSR_30, DHBT_3, PB1, PB_6, Unknown.Images per class:
1121: 250
1509: 250
1637: 250
1718: 250
1728: 250
BAS_370: 250
CSR_30: 250
DHBT_3: 250
PB1: 250
PB_6: 250
Unknown: 710
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
The original… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/Basmati_rice_seed_varitey_classification.Rice_Diagnosis_Leaf_Images_FromKaggle
AutoTrain Dataset for project: rice_diagnosis
Dataset Description
This dataset has been automatically processed by AutoTrain for project rice_diagnosis.
Originally from Kaggle, this shows rice leaves (leaf) up close pictures labeled with the disease of which they show symptoms.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image":… See the full description on the dataset page: https://huggingface.co/datasets/Solshine/Rice_Diagnosis_Leaf_Images_FromKaggle.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.Kashmiri-Rice-Seeds
RiceNet Dataset: High-Quality Image Dataset for Rice Variety Classification
Overview
The RiceNet Dataset is a meticulously curated collection of rice grain images designed to facilitate the classification of five distinct rice varieties using deep learning techniques. This dataset underpins the RiceNet model, a Deep Convolutional Neural Network (DCNN) architecture developed to enhance the accuracy of rice variety identification, addressing challenges in agriculture and… See the full description on the dataset page: https://huggingface.co/datasets/darrayes/Kashmiri-Rice-Seeds.rice_field_weed_classification
Rice Field Weed Classification
A dataset for weed classification in rice fields. The dataset contains 3,632 images across 11 classes:
Images per class:
Alternanthera philoxeroide: 106
Centella asiatica: 404
Commelina benghalensis: 316
Cyperus ochraceus: 190
Fimbristylis littoralis: 168
Ipomoea aquatic: 897
Marsilea minuta: 346
Panicum repens: 294
Paspalum scrobiculatum: 345
Pteris vittata: 221
Synedrella nodiflora: 345
This dataset is indexed on… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/rice_field_weed_classification.Rice-Image-Datasetrice_seedling_classification
Rice Seedling Classification
A dataset for image classification of Rice Seedlings. The dataset contains 5,364 images across 3 classes: clustered, single, undefined.
Images per class:
clustered: 1,437
single: 1,367
undefined: 2,560
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{luu2024rigad,
title={RiGaD: An aerial dataset of rice seedlings for assessing germination rates and density}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/rice_seedling_classification.rice_grain_variety_classification
Rice Grain Variety Classification
A dataset for variety classification of rice grains. The dataset contains raw and augmented versions.The raw dataset contains 4,730 images.Images per class:
Amon: 250
BR28: 230
BR29: 233
Bashful: 252
Bashmoti: 230
Chinigura_Polao: 237
Ganjiya: 233
Gutisharna: 256
Jirashail: 231
Katari_Polao: 242
Katarivog: 233
Lal_Aush: 231
Lal_Binni: 232
Lal_Biroi: 231
Najirshail: 231
Paijam: 234
Red_Cargo: 240
Shampakatari: 234
Shorna5: 238
Subol_Lota: 232… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/rice_grain_variety_classification.food102-iraqi-rice-meal
Dataset Card for Food-102 (Food101+Iraqi-rice-male )
Dataset Name: Food-102
Dataset Summary:
Food-102 is an updated version of the Food-101 dataset, now expanded to include 102 food categories. It consists of a total of 102,000 images, with 750 training images and 250 manually reviewed test images provided for each category. The dataset aims to enable food classification tasks and provide a diverse range of food images for research and development purposes. The training images in… See the full description on the dataset page: https://huggingface.co/datasets/Falah/food102-iraqi-rice-meal.