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2023-12-03 9:02pm
v8
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a year ago
2023-12-03 11:18am
v7
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a year ago
2023-11-14 3:19pm
v6
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a year ago
2023-11-13 4:39pm
v5
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a year ago
2023-11-13 3:05pm
v4
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a year ago
2023-11-07 8:07pm
v3
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a year ago
2023-11-06 3:37pm
v2
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a year ago
2023-11-06 2:08pm
v1
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a year ago
v4

2023-11-13 3:05pm

Generated on Nov 13, 2023
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2316 Total Images

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Dataset Split

Train Set 88%
2028Images
Valid Set 8%
192Images
Test Set 4%
96Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Filter Null: Require at least 40% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -30° and +30°
Shear: ±14° Horizontal, ±19° Vertical
Exposure: Between -25% and +25%
Blur: Up to 2.75px

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