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
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.