PCB Defect Detection Data Annotator
ImageBounding Box
Handled annotation of printed circuit board (PCB) images as part of a defect detection pipeline project. Labeled defective and non-defective regions using bounding boxes for YOLOv8 fine-tuning. Managed data augmentation alongside labeling, ensuring robustness and coverage of diverse fault types. • Responsible for precise bounding box labeling of PCB imagery • Utilized YOLOv8 and ONNX Runtime for model training and inference • Performed manual QA on labeled datasets to maintain annotation quality • Supported production deployment through high-quality annotation work.
Handled annotation of printed circuit board (PCB) images as part of a defect detection pipeline project. Labeled defective and non-defective regions using bounding boxes for YOLOv8 fine-tuning. Managed data augmentation alongside labeling, ensuring robustness and coverage of diverse fault types. • Responsible for precise bounding box labeling of PCB imagery • Utilized YOLOv8 and ONNX Runtime for model training and inference • Performed manual QA on labeled datasets to maintain annotation quality • Supported production deployment through high-quality annotation work.
2024 - Present