Active learning for efficient annotation in precision agriculture: a use-case on crop-weed semantic segmentation

Bart M. van Marrewijk, Charbel Dandjinou, Dan Jeric Arcega Rustia +5

Optimizing deep learning models requires large amounts of annotated images, a process that is both time-intensive and costly. Especially for semantic segmentation models in which e…