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Human detection

Semantic Segmentation

Human detection Image Dataset

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Versions
2023-11-27 3:02pm
v6
·
7 months ago
2023-09-24 2:33pm
v5
·
9 months ago
2023-09-24 11:44am
v4
·
9 months ago
2023-09-24 10:57am
v3
·
9 months ago
2023-09-22 9:44am
v2
·
9 months ago
2023-06-23 2:16pm
v1
·
a year ago
v3

2023-09-24 10:57am

Generated on Sep 24, 2023
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4958 Total Images

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Dataset Split

Train Set 82%
4082Images
Valid Set 12%
583Images
Test Set 6%
293Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 160x120
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 2
Rotation: Between -15° and +15°
Grayscale: Apply to 0% of images
Hue: Between -25° and +25°
Saturation: Between -5% and +5%
Blur: Up to 2.25px
Noise: Up to 1% of pixels