GPA

papeador

Instance Segmentation

papeador Image Dataset

v5

2024-03-25 2:16pm

Generated on Mar 25, 2024

Dataset Split

Train Set 83%
396Images
Valid Set 17%
81Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 720x480

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -13° and +13°
Shear: ±13° Horizontal, ±13° Vertical
Saturation: Between -18% and +18%
Brightness: Between -19% and +19%
Exposure: Between -15% and +15%
Blur: Up to 0.6px
Noise: Up to 2% of pixels