datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
crop-disease-balanced-5022Crop_Disease_Image_Dataset
Crop Disease Image Dataset (5 Crops, 19 Classes)
Dataset Summary
The Crop Disease Image Dataset is a curated, high-quality agricultural image dataset designed for computer vision, deep learning, and smart farming applications. It contains 22,169 RGB leaf images spanning 5 major crops across 19 distinct healthy and diseased classes.
This dataset was constructed by collecting, filtering, and standardizing images from multiple open-source agricultural repositories… See the full description on the dataset page: https://huggingface.co/datasets/ipartzix/Crop_Disease_Image_Dataset.cropdiseaseCrop_Disease_Images
Crop Disease Expert Annotations
1,026 expert annotations over 989 crop photographs, covering pests, diseases and nutrient deficiencies across 74 crop types. The images are included in this repository.
Every image is a photo taken by a smallholder farmer on their own plot and sent to Farmer.Chat, an AI advisory service run by Digital Green. Agronomists then reviewed each photo on Digital Green's annotation platform. Nothing here is scraped, staged, or lab-photographed.… See the full description on the dataset page: https://huggingface.co/datasets/DigiGreen/Crop_Disease_Images.BeejX-Crop-Disease-Dataset
BeejX Crop Disease Dataset
Edge-AI Data Solution for Crop Disease Recognition (Offline & Mobile-First).
Dataset Overview
The BeejX Crop Disease Dataset is an extensive, multi-crop image classification dataset curated for training lightweight Edge-AI models. The dataset is specifically structured and balanced to train models like MobileNetV2 (Quantized), enabling real-time, offline inference on low-end Android devices in rural agricultural areas.
This dataset… See the full description on the dataset page: https://huggingface.co/datasets/bf369/BeejX-Crop-Disease-Dataset.bd-crop-vegetable-plant-disease-dataset
🌾 Bangladesh Multi-Crop Disease Classification Dataset
📖 Dataset Description
This comprehensive dataset contains 123,588 images across 94 disease classes from 13 different crops commonly cultivated in the Bangladeshi agricultural region. The dataset is specifically curated to address plant disease identification challenges in South Asian agriculture, with a focus on crops that are economically and nutritionally significant to Bangladesh and the broader region.The… See the full description on the dataset page: https://huggingface.co/datasets/Saon110/bd-crop-vegetable-plant-disease-dataset.crop_pest_disease_classification
Crop Pest Disease Classification
A dataset for classification of disease/damage from common crop pests. The dataset contains raw and augmented versions.The raw dataset contains 25,170 images.Images per class:
anthracnose: 1,729
bacterial blight: 2,614
brown spot: 1,481
fall armyworm: 285
grasshoper: 673
green mite: 1,015
gumosis: 392
healthy: 3,235
leaf beetle: 938
leaf blight: 2,292
leaf curl: 514
leaf miner: 1,378
leaf spot: 1,249
mosaic: 1,205
red rust: 1,682
septoria leaf… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/crop_pest_disease_classification.Crop-Disease-Image-Eval-Synthetic
Crop, Category, Disease and Pest Test Set
11,057 smallholder-farmer photographs sent to FarmerChat from Ethiopia, India, Kenya and Nigeria, each
labelled with the crop, whether the problem is a disease or a pest, and which one. This is the held-out
test split of a four-head classification benchmark, restricted to the rows whose labels came from an
independent model council rather than from the production vendor.
Why 11,057 and not 16,275
The full held-out split is… See the full description on the dataset page: https://huggingface.co/datasets/DigiGreen/Crop-Disease-Image-Eval-Synthetic.crop-disease-tlm-dataDeveloped by rufatronics (Aga) Ahmad Garba Adamu
plant-disease-crop-health-15classes
🌿 Plant Leaf Disease Dataset (15 Classes - Unsegmented RAW)
📌 Dataset Summary
This dataset contains high-quality RGB images of healthy and diseased plant leaves across 3 major agricultural crops: Pepper (Bell), Potato, and Tomato. The dataset is structured into 15 distinct classes covering viral, bacterial, fungal diseases, pest infestations, and healthy controls.
Unlike segmented datasets, this collection consists of raw (unsegmented) RGB images, providing a… See the full description on the dataset page: https://huggingface.co/datasets/Ramseyn-77/plant-disease-crop-health-15classes.Crop_DiseaseCrop-Pest-and-Disease-Classification-Dataset
Crop Pest and Disease Classification Dataset
The current agricultural industry faces severe threats to crop yield and quality from pests and diseases. Traditional manual identification methods are inefficient and prone to errors. Existing solutions mostly rely on expert experience, lacking systematic and efficient approaches. This dataset aims to assist in the development of efficient AI models for automatic pest and disease classification by providing diverse crop pest and disease… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Crop-Pest-and-Disease-Classification-Dataset.africa-synth-agriculture-crop-disease-pest-incidents-nigeria
Africa Synth Agriculture Crop Disease Pest Incidents Nigeria | Africa (Electric Sheep Africa metadata inventory)
Size category: 100K<n<1M - Formats: parquet - Sector: agriculture_food - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-agriculture-crop-disease-pest-incidents-nigeria.indian_crop_diseasescrop-disease-20kCrop-Disease-Domain-Multimodalcropdiseasedataset2crop-disease-dataset-v1fetch_huggingface_9025_crop-disease-vision
Crop Disease Vision
A benchmark dataset of crop leaf images for image classification. Images are labeled across 38 crop disease classes, suitable for training agricultural vision models.
Contents
54,000 labeled images
38 disease classes
Train/validation/test splits
Usage
Use with standard image classification training pipelines.
crop-disease-imagescrop-disease-balanced-500adaption-crop-disease-leaf-images
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
adaption-crop_disease_leaf_images
This dataset contains image-based samples for identifying various crop diseases affecting plants such as apples, corn, tomatoes, and rice. Each entry consists of a prompt requesting disease identification and a completion specifying the diagnosed condition, including healthy states. The data is formatted as prompt-completion pairs suitable for… See the full description on the dataset page: https://huggingface.co/datasets/RatnambarBaghel/adaption-crop-disease-leaf-images.adaption-crop-disease-leaf-images-v1
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
adaption-crop_disease_leaf_images
This dataset contains image-based samples for identifying various crop diseases affecting plants such as apples, corn, tomatoes, and rice. Each entry consists of a prompt requesting disease identification and a completion specifying the diagnosed condition, including healthy states. The data is formatted as prompt-completion pairs suitable for… See the full description on the dataset page: https://huggingface.co/datasets/RatnambarBaghel/adaption-crop-disease-leaf-images-v1.Crop_Disease_Images
Crop Disease Expert Annotations
1,092 crop images annotated by agricultural experts with ground truth diagnoses covering pests, diseases, and nutrient deficiencies across 74 crop types.
Dataset
File: annotations.csv (4 columns)
Column
Description
image_url
URL to the crop image
crop
Crop or plant identified by the expert
diagnosis
Pest, disease, or nutrient deficiency name(s); Healthy if none
details
Expert's observations on visible symptoms… See the full description on the dataset page: https://huggingface.co/datasets/kirutheen/Crop_Disease_Images.kerala-crop-fertilizer-disease-qa
Dataset Card for "kerala-crop-fertilizer-disease-qa"
More Information needed
crop-disease-dataset-24crop-disease-dataset-splittedCrop_Disease_Images
Crop Disease Expert Annotations
1,092 crop images annotated by agricultural experts with ground truth diagnoses covering pests, diseases, and nutrient deficiencies across 74 crop types.
Dataset
File: annotations.csv (4 columns)
Column
Description
image_url
URL to the crop image
crop
Crop or plant identified by the expert
diagnosis
Pest, disease, or nutrient deficiency name(s); Healthy if none
details
Expert's observations on visible symptoms… See the full description on the dataset page: https://huggingface.co/datasets/Mithun2009/Crop_Disease_Images.adaption-crop-disease-reasoning
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-crop_disease_reasoning
This dataset contains prompt-completion pairs for multi-constraint agricultural reasoning. Each case requires weighing crop, region, growth stage, season, recent weather, field distribution, and observed symptoms to compare plausible disease, nutrient, environmental, and management-related explanations. Preserve ambiguity where evidence is incomplete.… See the full description on the dataset page: https://huggingface.co/datasets/WhyParabola/adaption-crop-disease-reasoning.crop-disease-dataset