Search results for deep-learning

BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset

National Renewable Energy Laboratory · Updated 7 Oct 2024

The BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption …

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Deep Learning for Water Quality

U.S. EPA Office of Research and Development (ORD) · Updated 12 Mar 2024

… Appling, H. Golden, J. Podgorski, and L. Li. Deep Learning for Water Quality. Nature Water. Nature Portfolio, Berlin …

Image dataset of plant-parasitic nematodes associated with cool-season turfgrass for machine learning and deep learning classification algorithms

Agricultural Research Service · Updated 19 Dec 2025

The dataset contains micrographs of Hoplolaimus , Helicotylenchus , Meloidogyne , Mesocriconema, Pratylenchus , Trichodorus , and Tylenchorhynchus nematodes. The data were collected …

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Supplementary material to: Comparison of veterinarians and a deep learning tool in the diagnosis of equine ophthalmic diseases

open.bydata · Updated 11 Nov 2026

Description will be provided after publication of the article.

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POSTER Foss-AI, an exploratory project using deep learning to extract paleobiological and paleoenvironmental data from fossil woods.

Decombeix, Anne-Laure · Updated 7 Aug 2024

… Foss-AI, an exploratory project using deep learning to extract paleobiological and paleoenvironmental data from fossil woods.

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Deep-learning-ready RGB-Depth imaging dataset of early-growth plants.

MERCIER Félix · Updated 16 Dec 2024

Lien vers la fiche source Dataset composed of RGB, Depth, and Infrared images acquired while monitoring the growth …

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FaultDeform : Fast and Accurate Sub-pixel Displacement Estimation From Optical Satellite Images based on Deep Learning

Montagnon, Tristan · Updated 12 Mar 2025

Lien vers la fiche source Contains the FaultDeform train, validation and test sub-datasets (10,000 samples). The …

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Multi-resolution X-ray tomography of a lattice structure for super-resolution using deep learning

Klos, Antoine · Updated 27 Oct 2025

… Super-resolution X-ray tomography using deep learning applied to the 3D quantification of defects in lattice structures …

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TREC 2022 Deep Learning test collection

National Institute of Standards and Technology · Updated 1 Mar 2023

This is a test collection for passage and document retrieval, produced in the TREC 2023 Deep Learning track …

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Synthetic Datasets and Evaluations for Sub-pixel Displacements Estimation from Optical Satellite Images with Deep Learning

Montagnon, Tristan · Updated 2 Nov 2023

… Contains also evaluations on realistic synthetics examples of a deep learning pipeline using two of the three models …

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Data from: Beech leaf disease symptom detection using deep learning and computer vision tools

Agricultural Research Service · Updated 4 May 2026

This image dataset consists of symptomatic and non-symptomatic American beech ( Fagus grandifolia ) leaves collected for the purpose …

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EMViR - Electron Microscopy Image Dataset of Labelled Respiratory Viruses for Deep Learning Model Development

Robert Koch-Institut · Updated 11 Nov 2026

… To advance the application and the development of deep learning in virus detection from electron microscopic images, more …

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Morphological map of the Irish continental shelf created using Deep Learning

Marine Institute Ireland · Updated 31 Jul 2024

Lien vers la fiche source Morphological map (10 classes) of the Irish shelf resulting from the modal aggregation …

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Influence of Experimental Designs on Semi-Empirical and Deep Learning-based Modeling of Li-Ion Battery Aging

open.bydata · Updated 13 Nov 2026

This dataset contains the measurements of 42 lithium-ion cells (LGChem 18650 MJ1) during a 6 months cycle …

Deep Learning Image Segmentation of Sandy Beaches in Southeastern Australia

CSIRO Data Access Portal · Updated 20 Sept 2025

… an image segmentation model using the U-Net deep learning architecture for mapping sandy beaches. The dataset contains …

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Predicting water temperature in the Delaware River Basin: 4 Model inputs

U.S. Geological Survey · Updated 17 Aug 2021

This dataset includes model inputs including gridded weather data, a stream network distance matrix, stream reach attributes and …

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Dataset for publication: Usefulness of synthetic datasets for diatom automatic detection using a deep-learning approach

Laviale, Martin · Updated 18 Nov 2024

… synthetic datasets for diatom automatic detection using a deep-learning approach". Dataset : The dataset consists of two components …

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Continental-scale predicted ecosystem condition for Australia using deep learning

CSIRO Data Access Portal · Updated 20 Sept 2025

These spatial datasets represent a continental-scale approach to ecosystem condition monitoring using Earth observations and deep learning …

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ASCAD

Agence Nationale de la Sécurité des Systèmes d'Information · Updated 14 Jun 2019

ASCAD (ANSSI SCA Databases) Databases and Neural Networks models, associated to the article "Study of Deep Learning Techniques …

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Segmentations-Trainingsdatensatz von Balkenbrücken

Mobilithek · Updated 9 Nov 2026

… Er dient als Grundlage zur Entwicklung und dem Training von Deep-Learning-Modellen zur automatisierten Erkennung und Analyse …

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