Dataset Versions

Versions
2022-09-01 7:03pm
v8
·
2 years ago
2022-09-01 7:01pm
v7
·
2 years ago
2022-09-01 10:14am
v6
·
2 years ago
2022-09-01 4:04am
v5
·
2 years ago
2022-08-31 4:24pm
v4
·
2 years ago
2022-08-25 4:45pm
v2
·
2 years ago
v8

2022-09-01 7:03pm

Generated on Sep 2, 2022
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1329 Total Images

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Dataset Split

Train Set 77%
1023Images
Valid Set 15%
204Images
Test Set 8%
102Images

Preprocessing

Static Crop: 33-67% Horizontal Region, 33-67% Vertical Region
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Hue: Between -16° and +16°
Saturation: Between -31% and +31%
Exposure: Between -10% and +10%

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