OAODD: Object-Aware Obstacle Detection Dataset

OAODD (Object-Aware Obstacle Detection Dataset) is a computer vision dataset designed for object detection tasks. The dataset contains annotated images with YOLO-format labels for training and evaluating deep learning-based object detection models. OAODD aims to support research and development in computer vision applications by providing structured image data with corresponding annotations. The dataset includes images, annotations, and metadata required for model training and evaluation.