labelingobstacles

floor_obstacles

Object Detection

floor_obstacles Image Dataset

v3

2024-03-28 2:23pm

Generated on Mar 28, 2024

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Dataset Split

Train Set 87%
2529Images
Valid Set 8%
244Images
Test Set 4%
120Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -26% and +26%
Brightness: Between -23% and +23%
Exposure: Between -15% and +15%
Blur: Up to 4.2px
Noise: Up to 0.81% of pixels