datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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-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.Crop-Flood-Disaster-Classification-Dataset
Crop Flood Disaster Classification Dataset
The current agricultural industry faces challenges of frequent flood disasters, making it difficult to quickly assess crop damage, affecting the stability of agricultural production and supply chains. Existing solutions largely rely on manual assessments which are inefficient and highly subjective, failing to meet the need for rapid response. This dataset aims to help AI models quickly assess damage by providing images of crops with… See the full description on the dataset page: https://huggingface.co/datasets/Harini1617/Crop-Flood-Disaster-Classification-Dataset.Crop-Flood-Disaster-Classification-Dataset
Crop Flood Disaster Classification Dataset
The current agricultural industry faces challenges of frequent flood disasters, making it difficult to quickly assess crop damage, affecting the stability of agricultural production and supply chains. Existing solutions largely rely on manual assessments which are inefficient and highly subjective, failing to meet the need for rapid response. This dataset aims to help AI models quickly assess damage by providing images of crops with varying… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Crop-Flood-Disaster-Classification-Dataset.