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2024-01-12 11:15am
v15
·
a year ago
2023-12-18 10:55am
v14
·
a year ago
2023-11-15 9:42pm
v13
·
a year ago
final_augmentation
v12
·
a year ago
all_train_lmage_level_augmentation
v11
·
a year ago
all_bounding_box_augmentation
v10
·
a year ago
all_lmage_level_augmentation
v9
·
a year ago
all_non_augmentation
v8
·
a year ago
2023-11-08 10:15am
v7
·
a year ago
2023-11-07 11:18pm
v6
·
a year ago
2023-11-07 4:57pm
v5
·
a year ago
2023-11-07 3:28pm
v4
·
a year ago
2023-11-07 2:51pm
v3
·
a year ago
2023-11-07 11:36am
v2
·
a year ago
2023-11-07 9:39am
v1
·
a year ago
v11

all_train_lmage_level_augmentation

Generated on Nov 9, 2023
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Dataset Split

Train Set 100%
3831Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±20° Horizontal, ±20° Vertical
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 10% of pixels
Cutout: 6 boxes with 10% size each

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