Shrimple Image Classification Dataset

v1

2024-05-10 7:03pm

Generated on May 10, 2024

Dataset Split

Train Set 88%
438Images
Valid Set 8%
42Images
Test Set 4%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%