JJEM: Special Edition 2 (December 2024)
JJEM: Special Edition 2 (December 2024)
2024-12-08
Deep Learning based car Detection techniques.
Lavanya H S, Adarsh M J
The primary goals determine image similarity based on object detection; it is reveal particularly difficult for car. Lately, the research is carried with the deep learning algorithm that offers proficient individuals detection performance. In case, the individuals detection all the angles, a deep learning model has been analyzed the indivi duals detect i. e. YOLO (You Only Look Once). The model is being trained and tested on the ‘overhead view car model’ dataset. Besides, the image of individuals has been also realized with the help of the information of the classified bounding box. The trained model is then tested over several testable datasets and it uses two such datasets for training and testing exclusively. The trained model is cross validated so that we know how much accuracy the model possesses. Technology enables the identification each car model in the populated world, which in turn helps to quickly identify the car model
Object identify, Deep Learning.