Apple instance segmentation models trained solely on LLM-generated synthetic images with automatic SAM annotations transfer to real orchard images, though key reported metrics are inconsistent and no real-data baseline is provided.
Synthetic meets authentic: Leveraging llm generated datasets for yolo11 and yolov10-based apple detection through machine vision sensors,
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Zero-Shot Automatic Annotation and Instance Segmentation using LLM-Generated Datasets: Eliminating Field Imaging and Manual Annotation for Deep Learning Model Development
Apple instance segmentation models trained solely on LLM-generated synthetic images with automatic SAM annotations transfer to real orchard images, though key reported metrics are inconsistent and no real-data baseline is provided.