Dataset Versions
Versions
2023-08-23 9:03pm
v12
· a year ago
2023-07-21 12:20am
v11
· a year ago
2023-07-18 3:18pm
v10
· a year ago
2023-07-18 3:06pm
v9
· a year ago
2023-07-18 1:31pm
v8
· a year ago
2023-07-18 12:55pm
v7
· a year ago
2023-07-18 12:29pm
v6
· a year ago
2023-07-18 11:52am
v5
· a year ago
2023-07-18 11:49am
v4
· a year ago
2023-07-18 11:29am
v3
· a year ago
2023-07-18 11:10am
v2
· a year ago
2023-07-06 2:43pm
v1
· a year ago
v7
2023-07-18 12:55pm
Generated on Jul 18, 2023
212 Total Images
View All Images
Dataset Split
Train Set 83%
177Images
Valid Set 12%
26Images
Test Set 4%
9Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±24° Horizontal, ±19° Vertical
Brightness: Between 0% and +56%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Brightness: Between 0% and +50%
Bounding Box: Blur: Up to 2px