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2024-05-03 10:28pm
v9
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8 months ago
2024-05-03 10:17pm
v8
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8 months ago
2024-05-01 3:28pm
v7
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8 months ago
2024-05-01 3:07pm
v6
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8 months ago
2024-04-09 4:16pm
v5
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9 months ago
2024-04-08 2:51pm
v4
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9 months ago
2024-04-08 1:19pm
v3
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9 months ago
2024-04-06 6:18pm
v2
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9 months ago
2024-04-06 6:13pm
v1
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9 months ago
v6

2024-05-01 3:07pm

Generated on May 1, 2024
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5451 Total Images

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Dataset Split

Train Set 88%
4782Images
Valid Set 8%
416Images
Test Set 5%
253Images

Preprocessing

Isolate Objects: Applied
Static Crop: 3-97% Horizontal Region, 11-88% Vertical Region
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 1 columns
Filter Null: Require at least 65% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -25° and +25°
Shear: ±20° Horizontal, ±20° Vertical
Saturation: Between -30% and +30%
Brightness: Between -31% and +31%
Blur: Up to 1.5px
Noise: Up to 3.02% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -16° and +16°
Bounding Box: Shear: ±13° Horizontal, ±13° Vertical
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Blur: Up to 1.6px
Bounding Box: Noise: Up to 0.1% of pixels

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