tantantetetao/UAPD-Pavement-Distress-Dataset
UAV Asphalt Pavement Distress Dataset
This dataset helps civil engineers and maintenance planners automatically detect and classify various types of damage on asphalt pavements. It takes high-resolution images of roads, typically captured by drones, and provides annotations that highlight and categorize six common pavement distresses like cracks, potholes, and repairs. Road inspectors and infrastructure managers can use this to develop or test automated inspection systems.
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Use this if you are developing or evaluating automated systems to identify pavement distress from aerial imagery for road maintenance planning.
Not ideal if you need a dataset for non-asphalt pavement types or require on-ground, close-up imagery rather than aerial views.
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Aug 16, 2022
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