Search results for convolutional-neural-network

Supplementary data from: Influence of growth structures and fixed appliances on automated cephalometric landmark recognition with a customized convolutional neural network – a retrospective study

open.bydata · Updated 11 Nov 2026

Code employed in the study with sample dataset

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Podocyrtis Image Dataset

Carlsson, Veronica · Updated 21 Feb 2025

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

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So2Sat GUL - So2Sat Global Urban LCZs

open.bydata · Updated 13 Nov 2026

So2Sat GUL consists of the local climate zones classification maps of 1692 cities whose population are larger than …

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

Carlsson, Veronica · Updated 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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GlobalBuildingMap

open.bydata · Updated 11 Nov 2026

This is the second version of the dataset. The GlobalBuildingMap (GBM) dataset provides the highest resolution and highest …

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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Phase diagram of the J-Jd Heisenberg Model on the Maple-Leaf Lattice: Neural networks and density matrix renormalization group

open.bydata · Updated 11 Nov 2026

Abstract: We microscopically analyze the nearest-neighbor Heisenberg model on the maple leaf lattice through neural quantum state …

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Find a rock or a rock nearby using Convolution Neural Networks

Geoscience Australia Data · Updated 16 Oct 2025

… A machine learning, Convolutional Neural Network (CNN) has been applied to detect outcrops (exposed bedrock at the earth …

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Morphological map of the Irish continental shelf created using Deep Learning

Marine Institute Ireland · Updated 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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Fish Detection AI, sonar image-trained detection, counting, tracking models

Water Power Technology Office · Updated 14 Apr 2025

… A Faster R-CNN (Region-based Convolutional Neural Network) was developed using sonar images from Alaska Fish and …

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Forest Aboveground Biomass for Maine, 2023

ORNL_DAAC · Updated 5 Nov 2026

… AGB was estimated using airborne LiDAR data from the USGS 3DEP project and a deep learning convolutional neural …

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

NEROT, Boris · Updated 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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Data from: Beech leaf disease symptom detection using deep learning and computer vision tools

Agricultural Research Service · Updated 4 May 2026

… collected for the purpose of training a convolutional neural network to distinguish between leaves affected by Beech Leaf …

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MERRA2_CNN_HAQAST bias corrected global hourly surface total PM2.5 mass concentration, V1 (MERRA2_CNN_HAQAST_PM25)

NASA/GSFC/SED/ESD/TISL/GESDISC · Updated 5 Nov 2026

… It is derived using a machine learning (ML) approach with a convolutional neural network (CNN) method and is …

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Automated Fish Detection and Wildlife Tracking for Marine Energy Applications: Final Report and Review

Booz Allen Hamilton Inc. · Updated 17 Aug 2026

… The work includes development and testing of You Only Look Once (YOLO), Faster Region-based Convolutional Neural Network …

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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 Plymouth · Updated 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 Plymouth · Updated 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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DigiLut’s sample dataset

Hôpital Foch · Updated 25 May 2025

### 1. Objectifs et finalités initiales de la base de données : Le dataset DigiLut a été conçu dans le …

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Multi-modal Supervised Change Detection Data

open.bydata · Updated 13 Nov 2026

… Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks. In IEEE International Geoscience and Remote Sensing …

HedgeRows - Bavaria, 2019-2021

open.bydata · Updated 11 Nov 2026

… and testing as input into a DeepLabV3 Convolutional Neural Network (CNN). The CNN has a Resnet50 backbone and …

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