Search results for Deep learning
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120 datasets for “Deep learning”
- Data.gov Catalog
Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Average Annual Daily Traffic 2019
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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- Socrata networkLive preview
Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Incidents Matched
U.S. Department of Transportation Intelligent Transportation Systems Joint Program Office (JPO) -- Recommended citation: "U.S. Department of Transportation Federal Highway Administration. (2019). Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland InUpdated 16 Sept 2024
… data from diversified platforms and introduces a novel deep learning model to predict the traffic speed and traffic …
- CSV
- JSON
- SODA API
- Socrata networkLive preview
Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Speed Data
U.S. Department of Transportation Intelligent Transportation Systems Joint Program Office (JPO) -- Recommended citation: "U.S. Department of Transportation Federal Highway Administration. (2024). Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland SpUpdated 16 Sept 2024
… data from diversified platforms and introduces a novel deep learning model to predict the traffic speed and traffic …
- CSV
- JSON
- SODA API
- 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 …
- JSON
- XML
- CSV
- Socrata networkLive preview
Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Average Annual Daily Traffic 2019
U.S. Department of Transportation Intelligent Transportation Systems Joint Program Office (JPO) -- Recommended citation: "U.S. Department of Transportation Federal Highway Administration. (2019). Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland AvUpdated 17 Sept 2024
… data from diversified platforms and introduces a novel deep learning model to predict the traffic speed and traffic …
- CSV
- JSON
- SODA API
- Opendatasoft hubLive preview
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 …
- CSV
- JSON
- GEOJSON
- ODS API
- 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 …
- JSON
- XML
- CSV
- Socrata networkLive preview
Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Processed Integrated Traffic Work Zone Data
U.S. Department of Transportation Intelligent Transportation Systems Joint Program Office (JPO) -- Recommended citation: "U.S. Department of Transportation Federal Highway Administration. (2024). Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Processed IntegUpdated 16 Sept 2024
… data from diversified platforms and introduces a novel deep learning model to predict the traffic speed and traffic …
- CSV
- JSON
- SODA API
- Opendatasoft hubLive preview
Eco-campus summer school on infiltration processes
FORQUET, NICOLASUpdated 10 Jul 2024
… The new research team Reseed, gathering researchers from INSA Lyon DEEP and IRSTEA Reversal (INRAE on January 2020 …
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- GEOJSON
- ODS API
- Opendatasoft hubLive preview
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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- GEOJSON
- ODS API
- Opendatasoft hubLive preview
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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- GEOJSON
- ODS API
- Opendatasoft hubLive preview
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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- GEOJSON
- ODS API
- Opendatasoft hubLive preview
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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- GEOJSON
- ODS API
- Opendatasoft hubLive preview
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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- GEOJSON
- ODS API
- Opendatasoft hubLive preview
Experimental Products: Multimission Gridded (with SWOT) Level-4 Sea Surface Heights and Velocities
Updated 31 Mar 2026
… combining a data assimilation scheme associated with a deep learning framework. - the 4DvarQG approach for the regional SSH …
- CSV
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- GEOJSON
- ODS API
- Opendatasoft hubLive preview
Exemple data for 2D image annotations onto 3D models
Ifremer, Centre de Bretagne, REM/EEP, Laboratoire Environnement Profond, 29280 Plouzané, FranceUpdated 10 Sept 2024
… This is particularly true in deep-sea environments, which are only accessible with underwater vehicles. On the one …
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- GEOJSON
- ODS API
- Opendatasoft hubLive preview
Base de référence spatialisée de l'occupation du sol, périphérie Est de Parakou, Nord-Bénin, 2023.
Lelong, CamilleUpdated 10 Feb 2025
… d'apprentissage d’algorithmes de Machine Learning ou de Deep Learning. La nomenclature contient toutes les classes d …
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- GEOJSON
- ODS API
- Opendatasoft hubLive preview
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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- GEOJSON
- ODS API
- Opendatasoft hubLive preview
Plankton and particles from Seaexplorer glider and UVP6 across the Ligurian Front
Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, LOV, Villefranche‐sur‐Mer, France. ACRI‐ST, Sophia Antipolis, France.Updated 6 Jun 2024
… unidentifiable) with the help of a supervised machine learning algorithm. As sorting all 400k+ images would have required …
- CSV
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- GEOJSON
- ODS API
- Opendatasoft hubLive preview
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 …
- CSV
- JSON
- GEOJSON
- ODS API