work_t1 Dataset

Versions
2024-05-06 11:12pm
v2
·
2 months ago
2024-05-04 4:56pm
v1
·
2 months ago
v1

2024-05-04 4:56pm

Generated on May 4, 2024
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1008 Total Images

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Dataset Split

Train Set 88%
882Images
Valid Set 8%
84Images
Test Set 4%
42Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 50% of images to contain annotations.

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: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.9px
Noise: Up to 0.34% of pixels