machine learning 1

complete_sets

Instance Segmentation

complete_sets Image Dataset

v2

2024-02-02 2:18pm

Generated on Feb 2, 2024

Dataset Split

Train Set 88%
408Images
Valid Set 8%
39Images
Test Set 4%
19Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±6° Horizontal, ±6° Vertical
Hue: Between -15° and +15°
Saturation: Between -10% and +10%
Brightness: Between -15% and +15%
Exposure: Between -7% and +7%
Blur: Up to 2px
Noise: Up to 0.1% of pixels