Vehicle and Pedestrian Detection Using YOLOv8 and Kitti dataset

YOLOv8, a state-of-the-art object detection algorithm, is leveraged for vehicle and pedestrian detection in real-time scenarios. Trained on the KITTI dataset, it accurately identifies vehicles and pedestrians, ensuring road safety and enhancing autonomous driving systems.

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Utilizing YOLOv8 with the KITTI dataset enables precise localization and classification of vehicles and pedestrians, even in challenging environments such as varying lighting conditions and occlusions. This robust detection system serves as a crucial component in enhancing road safety measures and advancing the development of autonomous vehicles by providing reliable perception capabilities.

#yolov8 #computervision #objectdetection #pedestrian #kittidataset