Parking_Lot_Detection_Counter

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Parking_Lot_Detection_Counter

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Parking_Lot_Detection_Counter

Use Case

Parking_Lot_Detection_Counter

Description

Discover the Parking_Lot_Detection_Counter dataset for detecting and counting empty and occupied parking spots.

Description:

The Parking_Lot_Detection_Counter dataset is designed for detecting and counting empty and occupied parking spots within a parking area. It includes a collection of images taken under various conditions, a binary mask image for identifying parking spots, a video capturing changes in occupancy over time, and a utility file with functions for processing. The dataset features images of the parking area, a mask image that highlights parking spots, and a video file to support real-time detection. Additionally, a pre-trained machine learning model is provided to assist in classifying parking spots as empty or occupied.

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For practical use, the dataset includes a processing file with functions to classify parking spots and extract bounding boxes based on the mask image. Researchers and developers can utilize these resources to train and test machine learning models, automate parking spot detection, and implement real-time parking management systems. The dataset supports applications in smart city infrastructure and parking guidance systems, facilitating the development of efficient parking solutions.