Search results for f1-score
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12 datasets for “f1-score”
- GovData Germany
Tree Species - Sentinel-1/2 - Germany, 2022
GDI-DEUpdated 13 Nov 2026
… The Tree Species Germany product achieves an overall F1-score of 0.89. For the dominant species pine …
- GEOTIFF
- GovData Germany
Tree Species - Sentinel-2 - Germany, 2016
GDI-DEUpdated 4 Nov 2026
… The Tree Species Germany 2016 product achieves an overall F1-score of 0.95. For the dominant species …
- GEOTIFF
- GovData Germany
Benchmarkdatensatz Personen-Auslastung der Regional- und Fernbahnhöfe Deutschlands
MobilithekUpdated 9 Nov 2026
… Als Benchmark der Vorhersage der kategorisierten Auslastung gilt ein Mean-Absolute-Error von 0.49 und einen F1 …
- FILE MEDIA TYPE#ANY OTHER MEDIATYPE
- data.gouv.fr
DigiLut’s sample dataset
Hôpital FochUpdated 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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- data.gov.au
The Application of speaker recognition techniques in the detection of tsunamigenic earthquakes
Geoscience Australia DataUpdated 16 Oct 2025
… The F1 score (harmonic mean of precision) was chosen to rate each classifier due to the imbalance between …
- HTML
- data.gov.au
Find a rock or a rock nearby using Convolution Neural Networks
Geoscience Australia DataUpdated 16 Oct 2025
… The UNet model incorporating high resolution imagery gave the best results (accuracy of 0.841 and an F1 …
- Open Government Canada
Prairie Landscape Inventory (PLI) - Moist Mixed Grassland Classification
Government of Saskatchewan | Gouvernement de la SaskatchewanUpdated 26 Feb 2025
… The table below summarizes the user’s accuracy, producer’s accuracy, and F1-score of the model on …
- HTML
- Open Government Canada
Prairie Landscape Inventory (PLI) - Cypress Upland Classification
Government of Saskatchewan | Gouvernement de la SaskatchewanUpdated 26 Feb 2025
… The table below summarizes the user’s accuracy, producer’s accuracy, and F1-score of the model on …
- HTML
- Open Government Canada
Prairie Landscape Inventory (PLI) - Aspen Parkland Classification
Government of Saskatchewan | Gouvernement de la SaskatchewanUpdated 15 Oct 2025
… The table below summarizes the user’s accuracy, producer’s accuracy, and F1-score of the model on …
- HTML
- Data.gov Catalog
Data and Code from: Smart vision-based monitoring system for AI-driven moth population estimation using camera-equipped trap imaging
Agricultural Research ServiceUpdated 22 Aug 2025
… The model demonstrated a high overall classification accuracy of 95.8%, with precision, recall, and F1-scores consistently …
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- data.gov.au
Bool and Hacks Lagoons Landcover Model Output 2022
Friends of Bool and Hacks LagoonsUpdated 20 Dec 2025
… a classification accuracy of 0.965 and mean F1 score also of 0.965. Sedge was the lowest …
- SHP
- Open Government Canada
Canada Landsat Burned Severity (CanLaBS v2): a Canada-wide Landsat-based 30m resolution product of burned severity since 1985.
Natural Resources Canada | Ressources naturelles CanadaUpdated 6 May 2026
… 95.49% precision, 75.6% recall, and an F1-score of 84.39%. **1.4. Revised gapfilling strategy …
- GEOTIF
- TXT