Cars segmentation
تفاصيل العمل
Description: Developed an AI model for car segmentation in images using deep learning techniques. The model can accurately identify and segment cars from the background in various environments such as streets, parking lots, and highways. This project uses Convolutional Neural Networks (CNN) combined with U-Net architecture for pixel-wise segmentation. The project helps in applications like autonomous driving, traffic analysis, and smart city monitoring by detecting and isolating vehicles from real-world images and videos. Data augmentation techniques were applied to improve model robustness, and the model was trained on a diverse dataset of car images with annotations.
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