"Custom Annotation Pipeline with YOLOv8 Integration"
Internal Proprietary ToolingImageBounding Box
Developed and used a custom-built annotation tool to label thousands of images for object detection.
Annotated bounding boxes and refined confidence-based predictions
Integrated live feedback loop using YOLOv8 training updates
Used adaptive thresholding and class-specific triggers to optimize dataset quality
Tool included full GUI, export in YOLO format, and rejection logic for negatives
Maintained high consistency and rapid throughput using internal QA review
Developed and used a custom-built annotation tool to label thousands of images for object detection. Annotated bounding boxes and refined confidence-based predictions Integrated live feedback loop using YOLOv8 training updates Used adaptive thresholding and class-specific triggers to optimize dataset quality Tool included full GUI, export in YOLO format, and rejection logic for negatives Maintained high consistency and rapid throughput using internal QA review
2024