Parking Space Detection Using Image Processing

parking slot detection
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ForParkingSlots contains 500 labeled images and is used for testing the final accuracy of a parking-slot detection algorithm The ground-truths for parking

Description The NVIDIA® Parking space detection sample app is an example of using convolutional deep neural network, called ParkNet,

parking slot or spot This camera-based approach directly outputs the four vertex coordinates of the parking slot in topview domain, instead of a bounding box in raw

parking slot dimension The self-parking system is an important component of self-driving vehicles Such a system needs to detect and locate the parking-slots from surround-view