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Top Asphalt Datasets and Models
The datasets below can be used to train fine-tuned models for asphalt detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.
At the bottom of this page, we have guides on how to train a model using the asphalt datasets below.
2.6k images 55 classes
A-Cracking A-Edge-Break A-Non-Distressed A-Not-Assessable A-Patches A-Potholes A-Rutting A-Wearing-Surface Asphalt Lane Asphalt-Area Asphalt-Lane---Non-Distressed Asphalt-Lane-Distressed---Crack Asphalt-Lane-Distressed---Edge-Break Asphalt-Lane-Distressed---Pothole Asphalt-Lane-Distressed---Scaling Asphalt-Lane-Distressed---Sealed Crack Asphalt-Lane-Distressed---Sealed Patch Asphalt-Lane-Distressed---Thin Crack Asphalt-Lane-Sealed-Patch-with-Crack Asphalt-Lane-Under-Construction-Area
161 images 18 classes 1 model
88 images 25 classes
1.4k images 4 classes 2 models
2.4k images 28 classes
Arching (concrete) Barrier damage Block cracks (asphalt) Broken board (cement) Corner fracture (cement) Crack (cement) Cracking (asphalt) Curb defect Defective protective facilities Edge spalling (cement) Exposed (cement) Joint material damage (cement) Longitudinal cracks (asphalt) Loose (asphalt) Marker defects Mud pumping (cement) Oiled (asphalt) Patching (asphalt) Potholes (asphalt) Potholes (concrete)
6.7k images 5 classes 2 models
500 images 7 classes
105 images 8 classes 1 model