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outside5

Classification

outside5 Image Dataset

Versions
2022-08-10 12:35pm
v4
Aug 10, 2022
2022-08-05 6:15pm
v3
Aug 5, 2022
2022-08-05 5:53pm
v2
Aug 5, 2022
2022-08-05 5:52pm
v1
Aug 5, 2022
v4

2022-08-10 12:35pm

Generated on Aug 10, 2022
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429 Total Images

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Dataset Split

Train Set 100%
429Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 28x28

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Brightness: Between -11% and +11%
Noise: Up to 2% of pixels
Cutout: 2 boxes with 4% size each