Dataset Versions

Versions
2024-03-20 12:59pm
v1
·
10 months ago
v1

2024-03-20 12:59pm

Generated on Mar 20, 2024
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625 Total Images

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Dataset Split

Train Set 97%
609Images
Valid Set 1%
8Images
Test Set 1%
8Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -10° and +10°
Saturation: Between -10% and +10%
Exposure: Between -10% and +10%

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