Needle detection Dataset

v3

2024-08-07 12:09pm

Generated on Aug 7, 2024

Dataset Split

Train Set 88%
105Images
Valid Set 8%
10Images
Test Set 4%
5Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Grayscale: Apply to 20% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%