I explained my solution step by step, starting from understanding the dataset and performing preprocessing like resizing, normalization, and augmentation. I used a YOLO-based model for the task, as it is efficient for real-time object detection and provides good accuracy. I described why I selected YOLO and how I trained and evaluated the model. I also discussed challenges like overfitting and how I improved performance using techniques like augmentation and hyperparameter tuning.