datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Global-Wheat-Security
Dataset Card for "Global Wheat Head Dataset 2021" 😊
If you want any update on the Global Wheat Dataset Community, go on https://www.global-wheat.com/
Introduction
Wheat is essential for a large part of humanity. The "Global Wheat Head Dataset 2021" aims to support the development of deep learning models for wheat head detection. This dataset addresses challenges like overlapping plants and varying conditions across global wheat fields. It's a step towards… See the full description on the dataset page: https://huggingface.co/datasets/Omarrs11/Global-Wheat-Security.wheat_mosaic_classification_multispectral
Wheat Mosaic Classification Multispectral
This dataset provides real multispectral images of wheat plants in field environments across South Africa, collected during August and October 2023. Captured using a specially adapted Canon EOS 800D DSLR, the images focus on early detection of Wheat Stripe Mosaic Virus, depicting plants at various stages of disease progression. The dataset contains 424 images across 2 classes: diseased, early.Images per class:
diseased: 252
early: 172… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/wheat_mosaic_classification_multispectral.SDAU_wheat_head_detection
Sdau Wheat Head Detection
This dataset features synthetic images of wheat heads captured in a laboratory environment. Images were collected using a handheld Canon EOS 70D RGB camera, providing a controlled setting for wheat head detection research. The dataset contains 3,030 images with 96,629 bounding box annotations across 1 category.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
The original train/test/val split has been… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/SDAU_wheat_head_detection.wheat_head_counting
Wheat Head Counting
A dataset for object detection of Wheat Head Counting. The dataset contains 6,512 images with 275,466 bounding box annotations across 1 category.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{david2020global,
title={Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high-resolution RGB-labelled images to develop and benchmark wheat head detection methods}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/wheat_head_counting.spring_wheat_stomata_imprint
Spring Wheat Stomata Imprint
This dataset contains high-resolution RGB images of stomata imprints from spring wheat and faba bean plants, captured in a field environment at Taastrup campus, Denmark. The images were acquired using a fixed platform with a Leica DM750 light microscope and ICC50 HD digital microscope camera during the collection period from December 2021 to Fall 2022. The dataset contains 973 images with no classification, segmentation, or bounding-box annotations.… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/spring_wheat_stomata_imprint.Wheat_Coccinellid_detection
Wheat Coccinellid Detection
This dataset provides real RGB images of coccinellids (ladybugs) on wheat plants in a field environment. Captured during summer 2022 and 2023 using handheld smartphones including various iPhone models and a Samsung S21 FE 5G, the images were collected at a U.S. agricultural field site. The dataset contains 2,133 images with 2,195 bounding box annotations across 1 category.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/Wheat_Coccinellid_detection.grounding-with-imagesglobal-wheat-detection-hfTreeOil_Torque_vs_WheatField_Xray_AI_Forensics
TreeOil_Torque_vs_WheatField_Xray_AI_Forensics
This dataset presents a full AI-driven forensic comparison between The Tree Oil Painting and Vincent van Gogh’s Wheat Field with Cypresses (1889), integrating brushstroke torque analysis, X-ray underlayers, and rhythm-based neural models.
Human Visual Warning:When closely observing the Wheat Field painting, its surface appears unnaturally smooth and glossy — visually resembling a plastic coating. This is not an accusation, but a… See the full description on the dataset page: https://huggingface.co/datasets/HaruthaiAi/TreeOil_Torque_vs_WheatField_Xray_AI_Forensics.wheat_growth_stage_classification
Wheat Growth Stage Classification
This dataset provides real RGB images of winter wheat plants at various growth stages, captured in a controlled laboratory environment. The images were collected over a 15-month period from April 2021 to June 2022 using a fixed imaging platform, ensuring consistent visual representation of wheat development under stable conditions. The dataset contains 450 images across 15 classes: FM-ED, FM-LD, FM-MD, FM-OM, FM-SD, HF-ED, HF-LD, HF-MD, HF-OM… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/wheat_growth_stage_classification.Dataset_Multi-Modal_Few-Shot_Learning_for_Anthesis_Prediction_of_Individual_Wheat_PlantsHSI-Based-Classification-of-Individual-Wheat-Plants-into-Fine-Scale-Reproductive-StagesWheat_Grading_Dataset
🌾 Wheat Grading & Type Dataset
A high-quality dataset of wheat grain images categorized by quality grades and grain varieties, created for building AI-based grain quality assessment systems.
This dataset is ideal for machine learning, deep learning, and computer vision models focused on automated agricultural grading.
📌 Dataset Summary
The Wheat Grading & Type Dataset contains thousands of labeled wheat grain images across multiple grades and varieties.
Images are… See the full description on the dataset page: https://huggingface.co/datasets/SamWithAi/Wheat_Grading_Dataset.wheatsTestTreeOil_vs_VanGogh_WheatfieldCrows_1890_TorqueMatch_AnalysisTree Oil vs Van Gogh – Wheatfield with Crows (1890) – TorqueBrush Comparison Dataset
This dataset presents a full comparative brushstroke analysis between the Tree Oil Painting (unattributed, under scientific review) and Vincent van Gogh’s Wheatfield with Crows (1890) using the 18 Supreme Techniques (TorqueBrush) framework. The goal is to evaluate stylistic, rhythmic, and torque coherence across two artworks using both AI-based image processing and visual forensics.
Contents:
Tree Oil… See the full description on the dataset page: https://huggingface.co/datasets/HaruthaiAi/TreeOil_vs_VanGogh_WheatfieldCrows_1890_TorqueMatch_Analysis.Farmhouse_in_a_Wheatfield_1888_Brushstroke_AnalysisWheatfield_with_Cypresses_1889_Brushstroke_Analysisimnet1k_soft-coated_wheaten_terrier