Mango Defect Detection

• Tech Stack: C++, OpenCV
• Algos: Support Vector Machines (SVM), Superpixel segmentation
• Code URL: View on Github

The goal of this project is to automate the classification of good and bad mangoes after the harvest by detecting skin defects using Superpixel segmentation and Support Vector Machines (SVM). The process involves enhancing the raw image, segmenting the mango into superpixels, and classifying the extracted features using SVM.