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Top Percent Datasets and Models
The datasets below can be used to train fine-tuned models for percent detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.
At the bottom of this page, we have guides on how to train a model using the percent datasets below.
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}
7.5k images 23 classes
1.2k images 23 classes
4.4k images 65 classes 1 model
50 images 55 classes 1 model
237 images 17 classes 1 model
127 images 19 classes
* Random exposure adjustment of between -15 and +15 percent 22 23 24 31 32 33 34 35 41 42 43 44 45 Teeth are annotated in COCO Segmentation format. The dataset includes 127 images. To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com teeth visit https://github.com/roboflow/notebooks