RD Computer Vision Model
148 Total Images
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Dataset Split
Train Set 66%
97Images
Valid Set 34%
51Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Grayscale: Applied
Modify Classes: 11 remapped, 27 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -10° and +10°
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -30% and +30%
Blur: Up to 1px
Mosaic: Applied
Bounding Box: Noise: Up to 2% of pixels