Related Objects of Interest: brick, metal, plastic, concrete-crack, loader, soil, wood, bus, car, transformer
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.
326 images 3 classes
391 images 13 classes
(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
by TM thesis
200 images 5 classes
by Hackaton
1321 images 5 classes
by liyoo
128 images 4 classes
1299 images 1 classes
by Test
4176 images 43 classes
object * Auto-orientation of pixel data (with EXIF-orientation stripping) * Random rotation of between -45 and +45 degrees * Resize to 640x640 (Stretch) * annotate, and create datasets * collect & organize images * export, train, and deploy computer vision models * understand and search unstructured image data * use active learning to improve your dataset over time 20 21 22 23 24 25 26 27 28 29 30
by EvilSUmrak
2436 images 17 classes
by BCD
103 images 6 classes
47 images 45 classes
88 images 14 classes