Dataset Versions

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2024-07-29 8:36am
v16
·
7 months ago
2024-07-29 5:38am
v15
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7 months ago
2024-07-21 6:28am
v6
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7 months ago
2024-07-15 8:15am
v5
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7 months ago
2024-07-14 3:41pm
v4
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7 months ago
2024-07-08 6:37am
v3
·
7 months ago
2024-05-26 12:57am
v2
·
9 months ago
2024-05-13 1:42am
v1
·
9 months ago
v4

2024-07-14 3:41pm

Generated on Jul 14, 2024
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65 Total Images

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Dataset Split

Train Set 97%
63Images
Valid Set 3%
2Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 1280x1280

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Blur: Up to 2.5px
Noise: Up to 1.8% of pixels

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