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29 datasets for “neural network”

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    Pretrained Transformers of "B-spline Curve Approximation With Transformer Neural Networks" article

    Saillot, MathisUpdated 11 Apr 2025

    Lien vers la fiche source Pretrained Transformers of B-spline Curve Approximation With Transformer Neural Networks article This …

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    annotated image dataset for cocoa pod detection networks

    Borianne PhilippeUpdated 17 Feb 2026

    … European Cocoa4Future project and is used to evaluate the performance of several neural networks for detecting cocoa pods.

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    B-spline Dataset of "B-spline Curve Approximation With Transformer Neural Networks"

    Saillot, MathisUpdated 11 Apr 2025

    Lien vers la fiche source B-spline Dataset of B-spline Curve Approximation With Transformer Neural Networks article …

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    Podocyrtis Image Dataset

    Carlsson, VeronicaUpdated 21 Feb 2025

    … These images were used for automatic image recognition by using convolutional neural networks.

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    Middle Eocene Radiolarian image dataset from ODP Leg 207 (Demerara Rise)

    Carlsson, VeronicaUpdated 21 Feb 2025

    … Convolutional neural network application on a new middle Eocene radiolarian dataset, to train a Resnet50 convolutional neural network …

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    Podocyrtis chalara and Podocyrtis goetheana including intermediate forms image dataset

    Pinto, FranciscoUpdated 26 Jun 2024

    … These images are used for training Artificial Neural Networks (ANNs). Images from this dataset taken with a microscope …

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    FRPV - Classification model and training material for the detection of Rooftop Photovoltaic (RPV) systems.

    NEROT, BorisUpdated 6 Mar 2025

    … A Convolution Neural Network trained to identify rooftop photovoltaic systems The training material, here a set of labelled …

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    Détection des glandes parathyroïde en médecine nucléaire

    Boukhennoufa, OuassimUpdated 7 Apr 2026

    … USNet that is a combination of a Siamese Network and a U-Net model for parathyroid glands detection …

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    • ODS API
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    Morphological map of the Irish continental shelf created using Deep Learning

    Marine Institute IrelandUpdated 31 Jul 2024

    … Fully convolutional neural networks applied to large-scale marine morphology mapping. Frontiers in Marine Science, Sec. Ocean Observation …

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    Expression and gene network datasets for benchmarking phenotype prediction

    Brouard, CélineUpdated 19 Dec 2023

    Lien vers la fiche source Companion simulated dataset for the preprint "Should we really use graph neural networks …

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    A benchmark for elasto-plasticity in finite strain

    Lesueur, LouisUpdated 24 Mar 2026

    … To specifically evaluate the impact of plasticity on different neural networks, the datasets also feature simulations with identical …

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    2b192671-1129-409c-adae-e2335759f290

    Université du Littoral Côte d'Opale - Laboratoire d'Océanologie et de GéoscienceUpdated 26 Jan 2026

    … in open and coastal ocean waters using a neural network inversion, J. Geophys. Res., 117, C10023, doi:10 …

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    Replication data for : Deep in situ microscopy for real-time analysis of mammalian cell populations in bioreactors

    Guez, jean-sébastienUpdated 22 Feb 2024

    … The labelled database, corresponding to the repository, was used for the training phase of a convolutional neural network …

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    3D-Aware Ellipses for Visual Localization

    Zins, MatthieuUpdated 19 Nov 2024

    … Scenes dataset and can be loaded in the neural networks available at https://gitlab.inria.fr/tangram/3d …

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    Multiple exposure speckle imaging contrast database obtained in vitro on microfluidic chips for various exposure, channel width, flows and optical magnification

    Pain, FrédéricUpdated 25 Aug 2023

    … The dataset has been used to train a convolutionnal neural network for inference of blood flow maps using …

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    Physical and biogeochemical data from SEA-EXPLORER gliders in the Ligurian Sea in 2018

    Laboratoire d’Océanographie de Villefranche, UMR 7093, CNRS, Sorbonne Université, Villefranche-sur-Mer, France CNRS, OSU STAMAR, UAR 2017, Sorbonne Université, Paris, FranceUpdated 6 Aug 2025

    … The files include a dataset of TA, DIC, pH predicted from CANYON-MED neural network based on TSO2 …

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    Daily Southern Ocean Sea Level Anomaly And Geostrophic Currents from multimission altimetry, 2013-2019

    Sorbonne Université, CNRS, LOCEAN, Paris, France Collecte Localisation Satellite, Toulouse, FranceUpdated 24 Dec 2025

    … Along-track measurements have been processed with state-of-the-art algorithms, such as neural network waveform classification …

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    Modeled density map of Syringammina fragillissima at a fine scale from the Rockall Bank in North East Atlantic between 1981-2010

    University of PlymouthUpdated 31 Aug 2023

    … A Convolutional Neural Network was used to measure its density in 58,147 images collected by the AUV …

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    Modeled density map of Syringammina fragillissima at a fine scale from the Rockall Bank in North East Atlantic between 1981-2010

    University of PlymouthUpdated 21 Aug 2024

    … A Convolutional Neural Network was used to measure its density in 58,147 images collected by the AUV …

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    • GEOJSON
    • ODS API
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    Prediction of quaternary alkali metal hydroxide - water mixture melting points using machine learning

    Roach, LucienUpdated 19 Jul 2024

    … In this work, we use an artificial neural network model to estimate the melting points of fluxes and …

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“neural network” datasets · Open Data Finder