Built computer vision system to detect and classify different types of LEGO bricks using YOLO object detection.
Detect and classify various LEGO brick types in real-time. Limited training data availability. Need for fast, accurate object detection. Multiple brick orientations and lighting conditions.
Implemented YOLO (You Only Look Once) object detection algorithm. Created custom training dataset with different LEGO brick types. Trained model to recognize brick shapes, sizes, and types. Real-time detection and classification.
Successfully detected and classified LEGO bricks in real-time. Learned YOLO architecture and object detection fundamentals. Early hands-on experience with computer vision (2018). Practical understanding of training data creation and annotation.