Dataset Annotation and Preparation for Object Detection (YOLO + Roboflow)
I prepared and annotated datasets using Roboflow and performed data augmentation and class balancing for object detection systems. My work involved labeling images with bounding boxes to train YOLOv5 and YOLOv8 models for domain-specific detection tasks. This hands-on experience facilitated subsequent training and fine-tuning of models for real-world conditions. • Used Roboflow to annotate and manage large-scale image datasets • Labeled thousands of images with bounding boxes for computer vision training • Performed data augmentation and class balancing for comprehensive dataset preparation • Enabled high-precision object detection through quality annotation work.