Search results for machine learning
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199 datasets for “machine learning”
- Open Government Canada
Government of Canada AI Register (Minimum Viable Product)
Treasury Board of Canada Secretariat | Secrétariat du Conseil du Trésor du CanadaUpdated 28 Apr 2026
… replace the MVP and will be updated regularly. Machine translation was used in the preparation of this document …
- CSV
- Open Government Canada
Soil Landscape Grids of Canada, 100m
Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire CanadaUpdated 15 Sept 2025
… The machine learning model is trained using over 10,000 pedon locations from across Canada as well as …
- GEOTIF
- ESRI REST
- data.gov.au
Unearthing Australia’s subsurface secrets - An integrated FAIR modelling approach
Geoscience Australia DataUpdated 16 Oct 2025
Output Type: Exploring for the Future Extended Abstract Short Abstract: To enable a sustainable and responsible use of …
- WMS
- WCS
- WMTS
- data.gov.uk
Curio Canopy - London Tree Canopy Cover
Greater London AuthorityUpdated 25 Sept 2026
… The algorithms and machine learning based techniques used to produce the canopy map were developed using Google Earth …
- KML
- CSV
- ZIP
- data.gov.au
Complete Radiometric Grid of Australia (Radmap) v4 2019 with modelled infill
Geoscience Australia DataUpdated 16 Oct 2025
… A boosted regression tree algorithm called XGBoost (open-source software library for gradient boosting machine learning) was used …
- ZIP
- WMS
- WCS
- data.gov.au
Find a rock or a rock nearby using Convolution Neural Networks
Geoscience Australia DataUpdated 16 Oct 2025
… A machine learning, Convolutional Neural Network (CNN) has been applied to detect outcrops (exposed bedrock at the earth …
- Open Government Canada
Automatically Detected Field Boundaries in Canada, 2023
Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire CanadaUpdated 7 Jan 2026
OneSoil employs a proprietary machine learning (ML) model based on state-of-the-art instance segmentation to detect …
- GPKG
- FGDB/GDB
- Data.gov Catalog
INTEGRATE - Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements
National Renewable Energy Laboratory (NREL)Updated 16 Jun 2022
… the National Institute of Standards and Technology (NIST) learns complex relationships between airfoil or blade shapes and their …
- J060866
- 2022-1098
- 2022-1293
- HTML
- Open Government Canada
Algorithmic Impact Assessment - Record of Employments (ROE) Comments Assessment
Employment and Social Development Canada | Emploi et Développement social CanadaUpdated 9 Apr 2026
##Record of Employment Comments Classification Model: Reducing Manual Review of Text Comments The Record of Employment (ROE) form …
- JSON
- Data.gov Catalog
Identification of Spatial Fault Patterns in Semiconductor Wafers
DashlinkUpdated 31 Mar 2025
… His research interests include supervised and unsupervised non-parametric machine learning with massive heterogeneous data. Prior to Intel …
- Data.NSW
Canopy Dieback Severity Mapping in Public Forests of the Lower North Coast of NSW
NSW Natural Resources CommissionUpdated 3 Oct 2026
… Using Sentinel-2 satellite imagery and a Random Forest machine learning model, canopy condition was classified into three …
- ZIP
- data.gov.au
Canopy Dieback Severity Mapping in Public Forests of the Lower North Coast of NSW
NSW Natural Resources CommissionUpdated 12 Nov 2025
… Using Sentinel-2 satellite imagery and a Random Forest machine learning model, canopy condition was classified into three …
- ZIP
- Data.gov Catalog
Delta-X AVIRIS-NG L3 Derived Vegetation Types, MRD, Louisiana, USA
ORNL_DAACUpdated 5 Nov 2026
… Reference Monitoring System were used to generate a machine learning-based model to classify vegetation types. This model …
- ISO
- PNG
- ZIP
- BIN
- HTML
- data.gouv.fr
GrainSight
Fares AzzamUpdated 9 Dec 2024
… Automated petrographic image analysis by supervised and unsupervised machine learning methods. Sedimentologika, 2(2). https://doi.org/10 …
- ZIP
- data.gov.au
Murray Basin Cenozoic thickness
Geoscience Australia DataUpdated 16 Oct 2025
… The advantage of the machine learning approach is that it learns relationships between the depth and supplementary datasets …
- XLSX
- ZIP
- data.gov.uk
Tree Species Map England
Forestry CommissionUpdated 20 Aug 2026
… The map was created using satellite remote sensing data (Sentinel-2) and machine learning to classify common tree …
- TIFF
- data.gov.au
Fire Extent and Severity Mapping (FESM)
NSW Department of Climate Change, Energy, the Environment and WaterUpdated 19 Oct 2025
… to mapping fire extent and severity through a machine learning framework based on sentinel 2 satellite imagery. The …
- SEED WEB MAP
- TXT
- ARCGIS REST SERVICE
- data.gov.au
Fire Extent and Severity Mapping (FESM)
NSW Department of Climate Change, Energy, the Environment and WaterUpdated 13 Nov 2025
… to mapping fire extent and severity through a machine learning framework based on sentinel 2 satellite imagery. The …
- SEED WEB MAP
- TXT
- ARCGIS REST SERVICE
- data.gov.au
Fire Extent and Severity Mapping (FESM)
NSW Department of Climate Change, Energy, the Environment and WaterUpdated 18 Dec 2025
… to mapping fire extent and severity through a machine learning framework based on sentinel 2 satellite imagery. The …
- SEED WEB MAP
- TXT
- ARCGIS REST SERVICE
- data.gov.au
Fire Extent and Severity Mapping (FESM)
NSW Department of Climate Change, Energy, the Environment and WaterUpdated 12 May 2026
… to mapping fire extent and severity through a machine learning framework based on sentinel 2 satellite imagery. The …
- ESRI REST
- TXT