crop-classification
messisswin-tiny-patch4-window7-224-finetuned-crop-classificationcrop_classification_fintune_qwen2.5_VL_7bswin-tiny-patch4-window7-224-finetuned-crop-classificationswin-tiny-patch4-window7-224-finetuned-plant-classification-finetuned-crops-classificationCrop_disease_classification_modelvit-base-patch16-224-in21k-finetuned-crop-classificationswin-tiny-patch4-window7-224-finetuned-crop-classification
multi-temporal-crop-classification
Dataset Card for Multi-Temporal Crop Classification
Dataset Summary
This dataset contains temporal Harmonized Landsat-Sentinel imagery of diverse land cover and crop type classes across the Contiguous United States for the year 2022. The target labels are derived from USDA's Crop Data Layer (CDL). It's primary purpose is for training segmentation geospatial machine learning models.
Dataset Structure
TIFF Files
Each tiff file covers a… See the full description on the dataset page: https://huggingface.co/datasets/ibm-nasa-geospatial/multi-temporal-crop-classification.Crop_Weed_classification
Crop & Weed Classification Dataset
© 2026 Rishi. All rights reserved.
This dataset is provided under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.
Usage
You are free to share and adapt this dataset under the following terms:
Attribution: You must give appropriate credit to the author.
Non-Commercial: You may not use this material for commercial purposes.
Citation & Paper
A research paper utilizing this… See the full description on the dataset page: https://huggingface.co/datasets/Rishi210904/Crop_Weed_classification.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.early-crop-weed_classification
Early Crop Weed Classification
This dataset contains real-world RGB images capturing early-stage crop and weed plants in agricultural field environments. The images were collected under natural outdoor conditions, providing visual data for distinguishing between different plant species during critical growth phases. The dataset contains 508 images across 4 classes: black_nightsade, cotton, tomato, velvet_leaf .Images per class:
black_nightsade: 123
cotton: 54
tomato: 201… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/early-crop-weed_classification.CT_PestNet_crop_pest_classification
Ct Pestnet Crop Pest Classification
This dataset provides real-world RGB images of crop pests collected in natural field environments using ground-based platforms. It features a diverse range of pest species observed under typical agricultural conditions, captured with standard visible-light cameras. The collection offers a practical resource for developing computer vision models to identify and monitor pests in crop fields. The dataset contains 75,222 images across 102 classes:… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/CT_PestNet_crop_pest_classification.ct_pestnet_crop_pest_classification_2
Ct Pestnet Crop Pest Classification 2
This dataset comprises real-world field images capturing crop pests under natural agricultural conditions. Collected using ground-based RGB imaging platforms, it provides diverse pest visualizations relevant to in-field crop monitoring and pest identification tasks. The dataset contains 4,508 images across 40 classes: 0, 1, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 2, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 3, 30, 31, 32, 33, 34, 35, 36, 37… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/ct_pestnet_crop_pest_classification_2.