Pedestrian Segmentation using Efficient Network Architecture ML pipeline for data processing and model training for pedestrian segmentation while minimizing network size. Model: U-Net Architecture with MobileNetV2 backbone Dataset: CityScape Result: 75.7% IOU 0.65M parameters