Search results for Deep learning
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15 datasets for “Deep learning”
- data.gov.au
Seagrass meadows of Hervey Bay and the Great Sandy Strait, Queensland, derived from field surveys conducted 6-14 December, 1998
Australian Ocean Data NetworkUpdated 23 Jun 2025
… Mapping survey methodologies followed standardised global seagrass research methods for intertidal, shallow subtidal (2‐10m depth) and deep …
- WFS
- WMS
- HTML
- PNG
- data.gov.au
Seagrass meadows of Hervey Bay and the Great Sandy Strait, Queensland, derived from field surveys conducted 6-14 December, 1998
Australian Ocean Data NetworkUpdated 10 Sept 2026
… Mapping survey methodologies followed standardised global seagrass research methods for intertidal, shallow subtidal (2‐10m depth) and deep …
- WFS
- WMS
- HTML
- PNG
- data.gov.au
Seagrass meadow extents derived from field to spaceborne earth observation at Green Island (Wunyami), a reef habitat in the Cairns section of the Great Barrier Reef, November 2020
Australian Ocean Data NetworkUpdated 3 Sept 2026
Seagrass meadow extent and meadow-scape was mapped using two alternative approaches at Green Island, a reef clear …
- WFS
- WMS
- HTML
- PNG
- data.gov.au
Buildings of WA (DPIRD-084)
Department of Primary Industries and Regional DevelopmentUpdated 30 Sept 2026
… This product was created with Deep Learning image segmentation of satellite data (Vivid 2.0), with further filtering …
- DOCX
- FGDB
- SHP
- GEOJSON
- GEOPACKAGE
- API ARCGIS SERVER MAP SERVICE
- +2
- GovData Germany
Landbedeckung NW
Open.NRWUpdated 12 Nov 2026
Das Produkt "Landbedeckung" wird flächendeckend und überschneidungsfrei für Nordrhein-Westfalen bereitgestellt. Die Landbedeckung basiert auf dem Datenmodell der …
- WMS
- Open Government Canada
Predictive model of Li-Cs-Ta pegmatite deposits
Natural Resources Canada | Ressources naturelles CanadaUpdated 2 Jul 2025
This model is derived from geological and geophysical data, which is processed using deep learning and natural language …
- HTML
- ESRI REST
- WMS
- GPKG
- Open Government Canada
Predictive model of graphite
Natural Resources Canada | Ressources naturelles CanadaUpdated 2 Jul 2025
… Feature extraction used deep learning. Predictive modelling made use of the deep ensemble method. Displayed is a Pan …
- HTML
- ESRI REST
- WMS
- GPKG
- data.gov.au
Farm dams of Western Australia (DPIRD-083)
Department of Primary Industries and Regional DevelopmentUpdated 30 Sept 2026
… This dataset was created with Deep Learning image segmentation of satellite data (Vivid 2.0), with further filtering …
- DOCX
- WFS
- API ARCGIS SERVER MAP SERVICE
- FGDB
- GEOPACKAGE
- GEOJSON
- +2
- Open Government Canada
Updated flake graphite national prospectivity
Natural Resources Canada | Ressources naturelles CanadaUpdated 19 Oct 2026
… Feature extraction was performed using an autoencoder (deep learning). Predictive modelling was performed using the deep ensemble method …
- HTML
- GPKG
- ESRI REST
- WMS
- Open Government Canada
Updated magmatic nickel national prospectivity
Natural Resources Canada | Ressources naturelles CanadaUpdated 19 Oct 2026
… Feature extraction was performed using an autoencoder (deep learning). Predictive modelling was performed using the deep ensemble method …
- HTML
- GPKG
- ESRI REST
- WMS
- Open Government Canada
Updated Mississippi Valley-type lead-zinc national prospectivity
Natural Resources Canada | Ressources naturelles CanadaUpdated 19 Oct 2026
… Feature extraction was performed using an autoencoder (deep learning). Predictive modelling was performed using the deep ensemble method …
- HTML
- GPKG
- ESRI REST
- WMS
- Open Government Canada
Pan-Canadian predictive model of Carbonatite-hosted REE and Nb deposits
Natural Resources Canada | Ressources naturelles CanadaUpdated 2 Jul 2025
… Deep learning algorithms were employed to integrate these layers into a comprehensive predictive framework. Here is a link …
- HTML
- ESRI REST
- WMS
- GPKG
- GovData Germany
HedgeRows - Bavaria, 2019-2021
open.bydataUpdated 11 Nov 2026
… from 2019 to 2021, were used in a deep learning approach. Hedgerow polygons of the Bavarian in-situ …
- WMS
- DOWNLOAD
- data.gouv.fr
CoSIA
Institut national de l'information géographique et forestièreUpdated 12 Nov 2026
… artificielle (IA) notamment des méthodes d’apprentissage profond (deep learning). Elles représentent des informations dites de “prédiction”. Elles …
- WMS
- WMTS
- data.gouv.fr
Mouillage en Bretagne et dans les Pays de Loire : étude de la fréquentation et de la pression sur les herbiers de zostère dans 13 secteurs à partir d'imagerie aérienne et satellitaire (2018-2022) (Points, Polygones)
Office Français de la BiodiversitéUpdated 2 Oct 2026
… traitement d’images avancées de la famille du deep learning, puis croisée aux données de réglementation des mouillages …
- OGC:OWS-C
- WMS
- WFS