A comprehensive domain-randomization pipeline for synthetic manufacturing imagery achieves 94.1% to 99.5% mAP@50 in zero-shot sim-to-real object detection with YOLOv8, and the authors release a 15-object benchmark (SIP15-OD).
Generating images with physics- based rendering for an industrial object detection task: Realism versus domain randomization,
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Domain Randomization for Object Detection in Manufacturing Applications using Synthetic Data: A Comprehensive Study
A comprehensive domain-randomization pipeline for synthetic manufacturing imagery achieves 94.1% to 99.5% mAP@50 in zero-shot sim-to-real object detection with YOLOv8, and the authors release a 15-object benchmark (SIP15-OD).