Dataset Versions
Versions
2021-12-27 7:33pm
v11
· 3 years ago
2021-12-27 5:45pm
v10
· 3 years ago
2021-12-27 5:38pm
v9
· 3 years ago
2021-12-27 5:20pm
v8
· 3 years ago
2021-12-27 5:18pm
v7
· 3 years ago
2021-12-27 5:17pm
v6
· 3 years ago
2021-12-27 5:15pm
v4
· 3 years ago
2021-12-27 5:11pm
v3
· 3 years ago
2021-12-27 5:08pm
v2
· 3 years ago
2021-12-27 4:58pm
v1
· 3 years ago
v1
2021-12-27 4:58pm
Generated on Dec 27, 2021
1809 Total Images
View All Images
Dataset Split
Train Set 100%
1809Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 4-97% Horizontal Region, 3-98% Vertical Region
Resize: Stretch to 448x448
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 3 rows x 3 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 9% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -59° and +59°
Saturation: Between -8% and +8%
Brightness: Between -11% and +11%
Exposure: Between -8% and +8%
Blur: Up to 2.75px
Noise: Up to 3% of pixels
Mosaic: Applied