Data Labeling for Automatic Crack Detection System (Student Project)
Developed a machine learning model for crack detection using Azure Cognitive Services. Labeled surface imagery to train the AI in distinguishing cracks from non-cracked surfaces. Utilized Computer Vision API for image processing and annotation. • Collected and annotated surface images from ESP32-CAM sensors • Performed classification of images as cracked or non-cracked • Utilized Azure Cognitive Services' internal tools for data labeling • Collaborated with a team for model evaluation and improvement.