Dataset Versions

v5

-Histogram v5 yolov8

Generated on Nov 11, 2024

Dataset Split

Train Set 88%
723Images
Valid Set 8%
68Images
Test Set 4%
34Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images