Dataset Versions

Versions
2024-04-13 10:54pm
v1
·
7 months ago
v1

2024-04-13 10:54pm

Generated on Apr 13, 2024
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2088 Total Images

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Dataset Split

Train Set 100%
2088Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -20° and +20°
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 2px
Noise: Up to 1.45% of pixels

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