Abstract: This study presents the development and validation of an advanced object detection model based on YOLOv9 for the automated identification of dental caries. Utilizing a dataset of 270 dental ...

Abstract: Geospatial object detection is critical for remote sensing applications. Existing methods struggle with imbalanced data, varying object scales, and complex features. We propose TODM ...