Dataset Versions

Versions
80-20troceria2
v4
·
a month ago
version2
v3
·
a month ago
v4

80-20troceria2

Generated on Nov 13, 2024
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6040 Total Images

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Dataset Split

Train Set 80%
4827Images
Valid Set 20%
1213Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 20-75% Vertical Region
Resize: Stretch to 1280x800
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 1 rows x 1 columns
Modify Classes: 1 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -11° and +11°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -15% and +15%
Noise: Up to 1.99% of pixels

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