Dataset Versions

Versions
2024-05-20 10:38am
v6
·
7 months ago
2024-05-20 8:09am
v5
·
7 months ago
2024-05-17 2:33pm
v4
·
7 months ago
2024-05-03 9:29am
v3
·
8 months ago
2024-04-30 3:10pm
v2
·
8 months ago
2024-04-30 1:55pm
v1
·
8 months ago
v6

2024-05-20 10:38am

Generated on May 20, 2024
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946 Total Images

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Dataset Split

Train Set 87%
822Images
Valid Set 11%
103Images
Test Set 2%
21Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Shear: ±3° Horizontal, ±3° Vertical
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 0.3% of pixels

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