WARNA DALAM 216

D2-HITAM

Classification

D2-HITAM Image Dataset

v1

2023-04-09 4:32am

Generated on Apr 8, 2023

Dataset Split

Train Set 88%
3321Images
Valid Set 7%
272Images
Test Set 5%
172Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 227x227

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 -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images