The objective of this project is to explore the potential of instance segmentation for military vehicles detection in satellite and aerial imagery using transfer learning. The methodology employs the Mask R-CNN network from Meta AI Research's next-generation library, Detectron2. This report aims to present the results of the experiments conducted, providing an in-depth examination of the approach taken and the underlying thought process.