SHIVAM

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detects

Classification

detects Image Dataset

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Versions!
2023-07-24 8:17pm
v2
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a year ago
72
2023-07-24 3:12pm
v1
·
a year ago
72
v2

2023-07-24 8:17pm

Generated on Jul 24, 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-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -16° and +16°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels