Car Detection

I completed a Computer Vision project aimed at analyzing and interpreting visual data from images or videos. The project involved applying techniques such as image preprocessing, feature extraction, and deep learning models to solve a specific task, such as object detection, image classification, or segmentation. Python libraries such as OpenCV, TensorFlow, and Keras were used to implement the project, ensuring accurate and efficient analysis of visual data. The project demonstrates practical applications of computer vision in real-world scenarios.