Vehicle Segmentation in Python

I’m building a computer-vision solution focused on precise image segmentation of vehicles. Everything will be developed in Python, so familiarity with libraries such as OpenCV, PyTorch or TensorFlow is essential. Scope • Prepare or recommend an appropriate dataset and handle data preprocessing. • Design and train a segmentation model that accurately isolates cars, trucks, buses and other vehicles from varied backgrounds. • Provide inference code that runs locally on CPU/GPU and returns clean masks for each detected vehicle. • Include clear comments, a requirements.txt, and a short README so I can reproduce your results. Acceptance criteria • Mean IoU and pixel accuracy benchmarks clearly reported. • Inference time per image noted on both GPU and CPU. • Final deliverables: well-structured Python code, trained weights, and a step-by-step setup guide. If you’ve built similar automotive or object-segmentation projects before, please mention them—I’m ready to start right away.