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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.
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
369 images 6 classes 1 model
88 images 14 classes 1 model
1.5k images 8 classes 3 models
3.3k images 5 classes 1 model
47 images 45 classes 1 model
103 images 6 classes 1 model
78 images 14 classes 1 model
27 images 5 classes 1 model
200 images 5 classes 1 model
589 images 12 classes 1 model
1.3k images 5 classes 1 model
206 images 6 classes 2 models
128 images 4 classes 1 model
3k images 10 classes 1 model
43 images 3 classes 1 model
104 images 5 classes 1 model
306 images 3 classes 2 models
10k images 13 classes 1 model
101 images 6 classes 1 model