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
v2
2021-12-27 5:08pm
Generated on Dec 27, 2021
603 Total Images
View All Images
Dataset Split
Train Set 100%
603Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 448x448
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 3 rows x 3 columns
Augmentations
Outputs per training example: 1
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±9° Horizontal, ±8° Vertical
Hue: Between -59° and +59°
Saturation: Between -6% and +6%
Brightness: Between -6% and +6%
Exposure: Between -8% and +8%
Blur: Up to 1px
Noise: Up to 1% of pixels