Parking Space Detection & Classification Dataset

website parking slot detection Automatic parking slot detection is based on vehicle detections in a series of parking lot images upon which clustering is applied in bird's eye parking slot images For parking slot detection, REPS-Net is proposed in this paper, which is an improved yolov4 parking slot detection method In REPS-Net, marker

parking slot detection The orientation of the parking slot when the vehicle is around it Two rectangular boxes formed by the entrance line with a depth d are marked  A circular descriptor is used in this method to have better robustness and generality in detecting various parking slot marking points Since the marking points  The dataset consists of images of parking spaces along with corresponding bounding box masks In order to facilitate object detection and

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