Deep learning object detection (FYP): parrot detection using YOLOv5
Worked on an object detection deep learning project for parrot detection using Python and PyTorch with the YOLOv5 model. This typically involves preparing and labeling image data to train and evaluate an object detection model. The work aligns with AI training data labeling requirements for detecting objects in images. • Developed FYP object detection pipeline for parrots using deep learning • Labeled/annotated training data for object detection tasks (inferred from YOLOv5 object detection workflow) • Implemented and iterated model training/experimentation using YOLOv5 • Extended object detection work to helmet, anime face, and fruit detection projects (inferred labeling)