Automated Diamond Clarity Grading – Project
ImageClassification
I trained a custom convolutional neural network (CNN) to automate image-based diamond clarity grading. The project involved labeling diamond images with expert clarity grades for supervised model training. I also implemented image preprocessing to improve feature consistency and robustness.
• Labeled hundreds of diamond images for clarity grades using reference standards.
• Used Python and OpenCV to automate the preprocessing and classification workflow.
• Validated model output against expert graders, achieving over 80% accuracy.
• Reduced the manual labeling workload by 40% through automation.
I trained a custom convolutional neural network (CNN) to automate image-based diamond clarity grading. The project involved labeling diamond images with expert clarity grades for supervised model training. I also implemented image preprocessing to improve feature consistency and robustness. • Labeled hundreds of diamond images for clarity grades using reference standards. • Used Python and OpenCV to automate the preprocessing and classification workflow. • Validated model output against expert graders, achieving over 80% accuracy. • Reduced the manual labeling workload by 40% through automation.
2025 - 2025