thib Laigre

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TL_003

Instance Segmentation

TL_003 Image Dataset

Try Pre-Trained Model
Versions
2023-10-06 2:37pm
v2
Oct 6, 2023
2023-10-06 1:07pm
v1
Oct 6, 2023
v2

2023-10-06 2:37pm

Generated on Oct 6, 2023
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928 Total Images

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Dataset Split

Train Set 88%
816Images
Valid Set 9%
80Images
Test Set 3%
32Images

Preprocessing

Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -19° and +19°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%