Dataset Versions
Versions
2024-02-19 8:59pm
v12
· 10 months ago
augmentation
v11
· 10 months ago
2024-02-19 5:36pm
v10
· 10 months ago
2024-02-19 5:36pm
v9
· 10 months ago
2024-02-19 5:36pm
v8
· 10 months ago
2024-02-19 5:36pm
v7
· 10 months ago
2024-02-19 5:36pm
v6
· 10 months ago
2024-02-19 5:36pm
v5
· 10 months ago
2024-02-19 5:36pm
v4
· 10 months ago
2024-02-19 5:36pm
v3
· 10 months ago
2024-02-19 5:36pm
v2
· 10 months ago
2024-02-19 5:35pm
v1
· 10 months ago
v11
augmentation
Generated on Feb 19, 2024
1250 Total Images
View All Images
Dataset Split
Train Set 90%
1125Images
Valid Set 10%
125Images
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: 11% Minimum Zoom, 43% Maximum Zoom
Rotation: Between -14° and +14°
Shear: ±8° Horizontal, ±12° Vertical
Grayscale: Apply to 17% of images
Hue: Between -22° and +22°
Saturation: Between -29% and +29%
Brightness: Between -31% and +31%
Exposure: Between -15% and +15%
Blur: Up to 2.8px
Noise: Up to 0.65% of pixels