Mustafa

MONEYY

Object Detection

MONEYY Image Dataset

v4

2023-12-07 6:32pm

Generated on Dec 7, 2023

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Dataset Split

Train Set 87%
2052Images
Valid Set 9%
212Images
Test Set 4%
100Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns

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 -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 31% of images
Hue: Between -72° and +72°
Saturation: Between -50% and +50%
Brightness: Between -49% and +49%
Exposure: Between -36% and +36%
Blur: Up to 2.5px
Noise: Up to 11% of pixels
Cutout: 5 boxes with 14% size each
Bounding Box: Blur: Up to 2.5px
yol
many
2121 images
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346 images
para-amk
327 images
Money
327 images