Hi all. I attended the imagery summit yesterday and saw the example of extracting road signs from video using deep learning again. We will be doing a road sign inventory soon and would like to try this workflow. I have seen this showcased several times now in different ESRI presentations\forums. I am wondering if there are any resources for this workflow, particularly any training datasets and recommendations for equipment and capture specs? The closest thing I could find is Automate Road Surface Investigation Using Deep Learning example which I'm sure is similar. Thanks again.
The source and its data is on their github site
arcgis-python-api/samples/04_gis_analysts_data_scientists at master · Esri/arcgis-python-api · GitHub
Not seeing anything for road signs or data?
there is a data folder but not anything specific to road signs, that is just where the notebooks and the data are housed
GitHub - Esri/arcgis-python-api: Documentation and samples for ArcGIS API for Python
check inside the Samples folder for other bits
Hi Devin Doring,
I've found the following feature services for Stop Signs:
https://www.arcgis.com/home/item.html?id=f4e7ad6b7c6e43758e22d910f1938c40
https://www.arcgis.com/home/item.html?id=459dc422538c478b8565098027333c10
Is there anything new with this? Gathering GIS data for DOT assets from cameras would be beneficial project.
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