personDetection Dataset

Try Pre-Trained Model
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2023-07-05 3:31pm
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a year ago
2023-06-28 1:18pm
v1
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a year ago
v2

2023-07-05 3:31pm

Generated on Jul 5, 2023
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72 Total Images

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Dataset Split

Train Set 88%
63Images
Valid Set 8%
6Images
Test Set 4%
3Images

Preprocessing

Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Hue: Between -10° and +10°
Saturation: Between -50% and +50%
Brightness: Between -36% and +36%

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