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Top Concrete Computer Vision Models
The models below have been fine-tuned for various concrete detection tasks. You can try out each model in your browser, or test an edge deployment solution (i.e. to an NVIDIA Jetson). You can use the datasets associated with the models below as a starting point for building your own concrete detection model.
At the bottom of this page, we have guides on how to count concretes in images and videos.
208 images 8 classes 1 model
380 images 11 classes 2 models
627 images 7 classes 1 model
100 images 13 classes 3 models
621 images 11 classes 2 models
803 images 30 classes 1 model
96 images 5 classes 1 model
195 images 10 classes 1 model
411 images 5 classes 1 model
98 images 5 classes 5 models
2.7k images 13 classes 3 models
621 images 7 classes 1 model
10k images 9 classes 1 model
391 images 13 classes 1 model
(A-4) Simple gap between concrete units with no movement of the wall (E-1)One concrete unit extracted- (E-2)More than one concrete unit extracted- (F-1)One concrete unit out of layer- (F-2)More than one concrete unit out of layer- (G-1)Concrete units need to be rearranged- ArrangementG-1 Gap A-3 Gap A-4 More than one cracked concrete unit One concrete unit out of layer- cracked D-3 disintegrated D-6
621 images 11 classes 1 model
803 images 30 classes 1 model
2.4k images 17 classes 1 model
47 images 45 classes 1 model
1.3k images 5 classes 1 model
369 images 6 classes 1 model
27 images 5 classes 1 model