Non_Reflective Computer Vision Dataset
864 Total Images
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Dataset Split
Train Set 96%
830Images
Valid Set 2%
17Images
Test Set 2%
17Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 10
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Exposure: Between -12% and +12%
Mosaic: Applied