batches detection Dataset
Versions
Aug_cutout_rot_shear_200epo
v10
· a year ago
Aug_cuout_rot_shear
v9
· a year ago
2023-05-22 5:39pm
v8
· a year ago
Augment 10- - cutout
v7
· a year ago
Augment 10 grados
v6
· a year ago
2023-05-19 3:20pm
v4
· a year ago
2023-05-19 3:20pm
v3
· a year ago
2023-05-18 8:24pm
v2
· a year ago
2023-05-18 8:11pm
v1
· a year ago
v9
Aug_cuout_rot_shear
Generated on May 23, 2023
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2720 Total Images
View All Images
Dataset Split
Train Set 88%
2385Images
Valid Set 8%
221Images
Test Set 4%
114Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 800x800
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Cutout: 9 boxes with 24% size each
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical