Layout-Controlled Synthetic Data Generation for Remote Sensing Object Detection (opens in new tab)

High-performance remote sensing object detection typically requires vast datasets with annotations, but the collection and labeling of large-scale data is a costly and labor-intensive process. While generative models have shown promise in addressing the need for large-scale datasets, they heavily rely on high-quality labeled data and often overlook crucial aspects, such as the interobject relationships and overall quality of the synthetic data. To this end, we propose layout-controlled synthe...