Search results for deep-learning
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115 datasets for “deep-learning”
- Data.gov Catalog
Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Incidents Matched
Federal Highway AdministrationUpdated 6 Oct 2026
… data from diversified platforms and introduces a novel deep learning model to predict the traffic speed and traffic …
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- Data.gov Catalog
Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Processed Integrated Traffic Work Zone Data
Federal Highway AdministrationUpdated 6 Oct 2026
… data from diversified platforms and introduces a novel deep learning model to predict the traffic speed and traffic …
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SDM of black grouse broods in the French Alps
DEFOSSEZ, ALEXANDREUpdated 14 Oct 2024
… It contains three folders: - 01_Landscape_Classification_Deep_Learning: land cover maps derived from deep learning classifications (VHSR …
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- ODS API
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Automated image acquisition and quantification of leaf lesion from plant fungal pathogen
GRIMONPONT, MARGOTUpdated 9 Jul 2025
… the quantification of necrosis caused by Sclerotinia sclerotiorum on Brassica napus (oilseed rape) leaves using deep learning methods.
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Data from Hackathon "GenHack 3 Generative Modeling Challenge": Predicting maize crop yield distribution under stochastic weather
Métivier, DavidUpdated 17 Jan 2025
Lien vers la fiche source Hackathon Overview The GenHack 3 is a data challenge organized by École Polytechnique …
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Destination labels for battery electric vehicles in eVMT dataset
University of California, DavisUpdated 27 Jun 2024
… Additionally, the repository contains a Python script that trains a deep-learning model to predict the driving behavior …
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71b68089-7f95-477e-840e-2ebd31935c53
IfremerUpdated 3 Feb 2026
… Fluid emission detection by Water-column Acoustics and a deep Learning-approach. SEANOE. https://doi.org/10.17882 …
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Végétation fine 2019 à Montpellier Méditerranée Métropole
Montpellier Méditerranée MétropoleUpdated 23 Nov 2020
… de traitements d’image automatique par apprentissage profond (« deep learning ») et de photo-interprétation. L’identification des classes …
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Projet Artisols - Espaces bâtis
OSE, KENJIUpdated 2 May 2022
… une extraction automatique par méthode d'apprentissage profond (deep learning) à partir d'imagerie très haute résolution spatiale …
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Experimental Products: Multimission Gridded (with SWOT) Level-4 Sea Surface Heights and Velocities
Updated 31 Mar 2026
… the 4DvarNET mapping algorithm is a data-driven approach combining a data assimilation scheme associated with a deep …
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Labeled SAR imagery dataset of ten geophysical phenomena from Sentinel-1 wave mode (TenGeoP-SARwv)
Updated 5 Jun 2025
… Such a dataset may be of value to a wide range of users and communities in deep learning …
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Phytoplankton dataset from the Lionceau and DYFAMED sediment traps
Aix-Marseille Univ, CNRS, IRD, INRAE, CEREGE, ITEM – Aix-en-Provence, FranceUpdated 19 Sept 2025
… The image datasets were processed using a deep learning-based workflow, including a step for object detection and …
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Base de référence spatialisée de l'occupation du sol, périphérie Est de Parakou, Nord-Bénin, 2023.
Lelong, CamilleUpdated 10 Feb 2025
… apprentissage d’algorithmes de Machine Learning ou de Deep Learning. La nomenclature contient toutes les classes d’occupation …
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Land cover maps for the district of Murewa in Zimbabwe, for the year 2023
Madec, SimonUpdated 5 May 2025
… A deep learning model based on a 3D convolutional neural network (CNN) was used to process the satellite …
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Structural biofilm characterisation of 40 Tenacibaculum spp. isolates
AHMED, SabitUpdated 26 Feb 2026
… The platform documented physical expansion and morphological differentiation using colony area measurements generated via deep learning algorithms. These …
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- ODS API