We built an AI system that detects and segments individual tree crowns in aerial imagery, producing clean, non-overlapping boundaries. Using RetinaNet + Mask R-CNN, our model outperforms Detectree2 with fewer false positives, no over-segmentation, and GIS-ready outputs, even in dense forests.