TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Обновлено 2024-09-17 20:41:42 +03:00
This high precision framework is a package which allows for the easy creation of large-scale visualizations. It has the ambition of solving problems outside of the pure geospatial streaming applications.
Обновлено 2024-01-19 12:47:11 +03:00
A streaming framework for geospatial data
Обновлено 2024-01-19 12:47:11 +03:00
Sample solution that demonstrates how to deploy and analyze spaceborne data using Azure Synapse Analytics
computer-vision
cognitive-services
azure-storage
azure-batch
synapse-analytics
geospatial
spaceborne
Обновлено 2022-11-11 10:58:23 +03:00
A list of open source projects related to Microsoft's geospatial and mapping services.
Обновлено 2022-08-19 19:07:49 +03:00
Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on descriptive analytics, visualization, clustering, time series forecasting and anomaly detection.
azure
data
r
visualization
workshop-materials
anomaly-detection
azure-databricks
databricks-notebooks
timeseries-forecasting
time-series-analysis
sparksql
311-data
aiforsocialgood
anomalydiscovery
datascience-machinelearning
eda
geospatial
leaflet
opendata
sparkr
Обновлено 2021-05-03 23:14:01 +03:00
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
microsoft
azure-storage
image-classification
neural-networks
cntk
microsoft-azure
land-cover
land-use
geospatial-data
image-segmentation
microsoft-machine-learning
azure-batchai
cntk-model
geospatial-analysis
Обновлено 2019-07-25 06:53:28 +03:00