Dataset Versions
Versions
2024-09-05 8:06pm
v14
· 2 months ago
2024-09-03 11:18am
v13
· 2 months ago
2024-09-03 5:45am
v12
· 2 months ago
2024-09-02 10:14am
v11
· 2 months ago
2024-09-02 8:14am
v10
· 2 months ago
2024-09-02 8:12am
v9
· 2 months ago
2024-09-02 7:18am
v8
· 2 months ago
2024-09-02 6:40am
v7
· 2 months ago
2024-09-02 5:50am
v6
· 2 months ago
2024-09-01 9:33pm
v5
· 2 months ago
2024-09-01 8:53pm
v4
· 2 months ago
2024-09-01 8:27pm
v3
· 2 months ago
2024-09-01 6:15pm
v2
· 2 months ago
2024-09-01 5:59pm
v1
· 2 months ago
v5
2024-09-01 9:33pm
Generated on Sep 1, 2024
2576 Total Images
View All Images
Dataset Split
Train Set 91%
2340Images
Valid Set 6%
148Images
Test Set 3%
88Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels