Pomelo Ripeness Detection using YOLOv7 Network

Classification

Dataset Versions

v2

2023-08-05 9:46pm

Generated on Aug 5, 2023

Dataset Split

Train Set 86%
352Images
Valid Set 12%
49Images
Test Set 2%
9Images

Preprocessing

Auto-Orient: Applied
Static Crop: 4-100% Horizontal Region, 28-100% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±7° Horizontal, ±15° Vertical
Saturation: Between -14% and +14%
Exposure: Between -7% and +7%

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