Company-Project:
VITO - openEO platform
*****FOR THIS SESSION BRING WITH YOU YOUR LAPTOP OR TABLET*****
Description:
This training will use a working Python code example to demonstrate how openEO can support a deep learning and classical machine learning use case. The use case will show how to extract agriculture parcel boundaries from Sentinel-2 input.
Learning goals:
• Collecting training data with openEO
• Training and inference of a random forest model
• Integrating a Tensorflow based model in a user defined function for inference in openEO.
Prerequisites:
• Basic understanding of ML concepts
• Python programming