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Top Defect Computer Vision Models
The models below have been fine-tuned for various defect 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 defect detection model.
At the bottom of this page, we have guides on how to count defects in images and videos. To learn more about defect detection with computer vision, check out the following resources:
354 images 23 classes 1 model
0 1 2 23 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 Frontside Defect if : A defect will be classified as Particle if : Area(um2) is greater than or equal to Brightness is between Defects will be classified in the following order: Size(um) is greater than or equal to
2.4k images 6 classes 1 model
70 images 3 classes 1 model
169 images 6 classes 1 model
171 images 12 classes 1 model