croppathdetect Computer Vision Model
678 Total Images
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Dataset Split
Train Set 99%
672Images
Valid Set 1%
4Images
Test Set 0%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -22% and +22%
Blur: Up to 1.8px
Noise: Up to 0.38% of pixels