Descartes Labs, Inc.

Earthdaily Analytics USA, Inc.

Manuel Weber

Kyle Tyler Story

Jason David Schatz

Synthesizing training data for training a change detection model includes receiving a patched image comprising a background image with a patch pasted into the background image. It further includes synthesizing a harmonized patched image at least in part by harmonizing the patched image using a machine learning model trained on the background image. It further includes providing as output a synthetic training sample usable to train a change detection model. The synthetic training sample includes a reference image, at least a portion of the harmonized patched image, and a corresponding mask.

Synthesizing training data for training a change detection model

Training an estimation model using soft labels includes receiving an image. It further includes generating a continuous target map corresponding to the image that includes hard labels and soft labels. A model is trained using the corresponding continuous target map.

Growing community of inventors

Santa Fe, NM, United States of America

Manuel Weber