Dataset Versions

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Versions
No augmentation
v4
·
2 years ago
2023-02-13 11:26am
v3
·
2 years ago
2023-02-13 11:23am
v2
·
2 years ago
2023-02-12 4:44pm
v1
·
2 years ago
v1

2023-02-12 4:44pm

Generated on Feb 12, 2023
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Dataset Split

Train Set 88%
7533Images
Valid Set 8%
714Images
Test Set 4%
362Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -30° and +30°
Saturation: Between -50% and +50%
Brightness: Between -35% and +35%
Exposure: Between -30% and +30%
Blur: Up to 3px
Noise: Up to 2% of pixels
Bounding Box: Rotation: Between -15° and +15°

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