Dataset Versions

Versions
data_augmentation_v2
v6
·
a year ago
data_augmentation
v5
·
a year ago
final_version_v2
v4
·
a year ago
final_version
v3
·
a year ago
first_half
v2
·
a year ago
v6

data_augmentation_v2

Generated on Nov 20, 2023
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Dataset Split

Train Set 92%
120Images
Valid Set 8%
10Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -25° and +25°
Hue: Between -42° and +42°
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 5 boxes with 10% size each

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