Dataset Versions
Versions
2023-08-08 10:39pm
v12
· a year ago
2023-08-08 10:28pm
v11
· a year ago
2023-08-08 10:25pm
v10
· a year ago
2023-08-08 10:24pm
v9
· a year ago
2023-08-08 10:02pm
v8
· a year ago
2023-08-08 10:00pm
v7
· a year ago
2023-08-08 9:58pm
v6
· a year ago
2023-08-08 9:55pm
v5
· a year ago
2023-08-08 9:54pm
v4
· a year ago
2023-08-08 9:52pm
v3
· a year ago
2023-08-08 9:51pm
v2
· a year ago
2023-08-08 9:46pm
v1
· a year ago
v1
2023-08-08 9:46pm
Generated on Aug 8, 2023
186 Total Images
View All Images
Dataset Split
Train Set 100%
186Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 61% Maximum Zoom
Rotation: Between -27° and +27°
Shear: ±15° Horizontal, ±14° Vertical
Saturation: Between -14% and +14%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each