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.Crop_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_Diseasecrop-disease-20kindian_crop_diseasescropdiseasedataset2crop-disease-imagesadaption-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.crop-disease-balanced-500adaption-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.crop-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.XAI_CropDiseaseDetectioncrop-disease-images-traintestcrop-disease-dataset