Search results for deep-learning
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59 datasets for “deep-learning”
- Data.gov Catalog
BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset
National Renewable Energy LaboratoryUpdated 7 Oct 2024
The BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption …
- 08151V1
- HTML
- MD
- ZIP
- CSV
- TAR
- Data.gov Catalog
Image dataset of plant-parasitic nematodes associated with cool-season turfgrass for machine learning and deep learning classification algorithms
Agricultural Research ServiceUpdated 19 Dec 2025
The dataset contains micrographs of Hoplolaimus , Helicotylenchus , Meloidogyne , Mesocriconema, Pratylenchus , Trichodorus , and Tylenchorhynchus nematodes. The data were collected …
- ZIP
- Data.gov Catalog
Data from: Beech leaf disease symptom detection using deep learning and computer vision tools
Agricultural Research ServiceUpdated 4 May 2026
This image dataset consists of symptomatic and non-symptomatic American beech ( Fagus grandifolia ) leaves collected for the purpose …
- ZIP
- GovData Germany
EMViR - Electron Microscopy Image Dataset of Labelled Respiratory Viruses for Deep Learning Model Development
Robert Koch-InstitutUpdated 11 Nov 2026
… To advance the application and the development of deep learning in virus detection from electron microscopic images, more …
- ZIP
- data.gov.au
Deep Learning Image Segmentation of Sandy Beaches in Southeastern Australia
CSIRO Data Access PortalUpdated 20 Sept 2025
… an image segmentation model using the U-Net deep learning architecture for mapping sandy beaches. The dataset contains …
- HTML
- ZIP
- TEXT/MARKDOWN
- data.gouv.fr
ASCAD
Agence Nationale de la Sécurité des Systèmes d'InformationUpdated 14 Jun 2019
ASCAD (ANSSI SCA Databases) Databases and Neural Networks models, associated to the article "Study of Deep Learning Techniques …
- ZIP
- GovData Germany
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.bydataUpdated 11 Nov 2026
Code employed in the study with sample dataset
- ZIP
- Data.gov Catalog
X-ray CT data with semantic annotations for the paper "A workflow for segmenting soil and plant X-ray CT images with deep learning in Google’s Colaboratory"
Agricultural Research ServiceUpdated 21 Nov 2025
… These images and annotations are for training deep learning models to identify different constituents in leaves, almond buds …
- ZIP
- data.gouv.fr
ASCADv2
Agence Nationale de la Sécurité des Systèmes d'InformationUpdated 14 Apr 2025
ASCAD database version 2. This database contained the power consumption of a STM32 Cortex M4 microcrontroller (STM32F303RCT7) during …
- ZIP
- H5
- Data.gov Catalog
Appendices for Geothermal Exploration Artificial Intelligence Report
Colorado School of MinesUpdated 13 Jan 2022
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This …
- ZIP
- DOCX
- Data.gov Catalog
CameraTrapDetectoR Species Model
Agricultural Research ServiceUpdated 21 Nov 2025
CameraTrapDetectoR is an R package that uses deep learning computer vision models to automatically detect, count, and classify …
- ZIP
- Data.gov Catalog
Data from: No More Laborious Stem Counting: AI-powered Computer Vision Enables Identification and Quantification of Solid and Hollow Alfalfa Stems at the Pixel Level
Agricultural Research ServiceUpdated 16 May 2025
… image data, labeled JSON data, and machine and deep learning model data. This data was gathered to develop …
- ZIP
- data.gouv.fr
CytologIA
French-Speaking Cellular Hematology GroupUpdated 21 Jul 2025
## **1. Purpose of the database:** The aim of the Data Challenge is to develop an artificial intelligence capable …
- CSV
- ZIP
- Data.gov Catalog
Forest Aboveground Biomass for Maine, 2023
ORNL_DAACUpdated 5 Nov 2026
… AGB was estimated using airborne LiDAR data from the USGS 3DEP project and a deep learning convolutional neural …
- ISO
- PNG
- ZIP
- HTML
- BIN
- GovData Germany
Dataset: InsectSound1000-GreenhouseNoiseRecordings
OpenAgrarUpdated 24 Sept 2026
… in order to prepare them for use in deep learning model development and evaluation. The parallel split means …
- ZIP
- data.gouv.fr
Herault
Occitanie Pyrénées en Intelligence GéomatiqueUpdated 25 Oct 2024
… Pour ce faire, il est fait appel à des procédés d’intelligence artificielle (IA) de type « deep learning …
- ZIP
- data.gouv.fr
Différenciel 2019_2016 Gers
Occitanie Pyrénées en Intelligence GéomatiqueUpdated 24 Apr 2025
… Pour ce faire, il est fait appel à des procédés d’intelligence artificielle (IA) de type « deep learning …
- SHP
- ZIP
- data.gouv.fr
Occupation du sol 2018 Aude
Occitanie Pyrénées en Intelligence GéomatiqueUpdated 10 Dec 2024
… Pour ce faire, il est fait appel à des procédés d’intelligence artificielle (IA) de type « deep learning …
- ZIP
- data.gouv.fr
Occupation du sol 2021 Aude
Occitanie Pyrénées en Intelligence GéomatiqueUpdated 10 Dec 2024
… Pour ce faire, il est fait appel à des procédés d’intelligence artificielle (IA) de type « deep learning …
- ZIP
- data.gouv.fr
Occupation du sol 2022 Lot
Occitanie Pyrénées en Intelligence GéomatiqueUpdated 12 Feb 2025
… Pour ce faire, il est fait appel à des procédés d’intelligence artificielle (IA) de type « deep learning …
- ZIP