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Related Objects of Interest: concentricity , flatness , perpendicularity , total runout , angle , centrality , chamfer , groupedroughness , length , parallelity
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Top Diameter Computer Vision Models
The models below have been fine-tuned for various diameter 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 diameter detection model.
At the bottom of this page, we have guides on how to count diameters in images and videos.
84 images 52 classes 1 model
+ . 0 1 2 3 4 5 6 7 8 9 A defect will be classified as Bump Defect if : A defect will be classified as Bump surface damage if : A defect will be classified as Die top sise chip/peeling if : A defect will be classified as Particle if : Adaptive Histogram Mode AdaptiveHistogram Area(um2) is greater than or equal to Big Area Status - Bright {area , μ}
185 images 12 classes 2 models
31 images 6 classes 1 model
89 images 6 classes 1 model
414 images 12 classes 2 models
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