G-Litter Marine Litter Dataset Augmentation with Diffusion Models and Large Language Models on GPU Acceleration
Marine litter detection is crucial for environmental monitoring, yet the imbalance in existing datasets limits model performance in identifying various types of waste accurately. This paper presents an efficient data augmentation pipeline that combines generative diffusion models (e.g., Stable Diffusion)