Dataset Versions
Versions
2022-11-19 12:36am
v15
· 2 years ago
2022-11-17 11:53pm
v14
· 2 years ago
2022-11-12 3:07pm
v13
· 2 years ago
2022-11-07 3:53pm
v12
· 2 years ago
2022-11-07 3:50pm
v11
· 2 years ago
2022-11-07 3:47pm
v10
· 2 years ago
2022-11-07 3:46pm
v9
· 2 years ago
2022-11-07 3:45pm
v8
· 2 years ago
2022-11-07 3:42pm
v7
· 2 years ago
2022-11-04 12:27am
v6
· 2 years ago
2022-11-03 11:21pm
v5
· 2 years ago
2022-11-03 11:25am
v4
· 2 years ago
v7
2022-11-07 3:42pm
Generated on Nov 7, 2022
1200 Total Images
View All Images
Dataset Split
Train Set 88%
1050Images
Valid Set 8%
100Images
Test Set 4%
50Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±30° Horizontal, ±30° Vertical
Exposure: Between -30% and +30%
Noise: Up to 5% of pixels