MarianoMS56
commented
5 months ago As a first way to search for a DataSet, we thought of looking for different datasets that meet different characteristics:
-Image size -Image angle difference -Variety of colors of cars, environments, etc. Variety of positions of parked and non-parked cars.
In the first link there is a list of possible databases that can work:https: //www.kaggle.com/datasets?search=parking&page=3
From these we highlight at least possible databases in order to reach a better result.
-https://www.kaggle.com/datasets/new-york-city/nyc-parking-tickets/data
-https://www.kaggle.com/datasets/mfaisalqureshi/parking
-https://www.kaggle.com/datasets/trainingdatapro/parking-space-detection-dataset
Of these 3 the most interesting would be the last one, because it is focused to be used in models with box detection functions by objects.
Research and search of DataSets of parking lots, with the objective of being able to perform training on used and unused spaces of different margins and sizes in order to be able to perform effective functions.
The postulated DataSets should be within the possibilities different as much as possible, having some features in common with each other but always prioritizing a safe training for the functions.