Dataset Versions
Versions
2024-11-08 8:18am
v11
· 2 months ago
2024-11-08 6:24am
v10
· 2 months ago
2024-11-08 6:15am
v9
· 2 months ago
2024-11-08 1:02am
v8
· 2 months ago
2024-11-08 12:51am
v7
· 2 months ago
2024-11-07 4:56am
v6
· 2 months ago
2024-11-07 4:18am
v5
· 2 months ago
2024-11-07 4:14am
v4
· 2 months ago
2024-11-07 2:23am
v3
· 2 months ago
2024-11-07 2:18am
v2
· 2 months ago
2024-10-25 1:56am
v1
· 2 months ago
v7
2024-11-08 12:51am
Generated on Nov 8, 2024
6359 Total Images
View All Images
Dataset Split
Train Set 92%
5860Images
Valid Set 5%
335Images
Test Set 3%
164Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 4.9px
Noise: Up to 1.92% of pixels