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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
v3

2023-11-07 8:07pm

Generated on Nov 7, 2023
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2200 Total Images

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Dataset Split

Train Set 88%
1930Images
Valid Set 8%
184Images
Test Set 4%
86Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 3 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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