Dataset Versions
Versions
2024-12-16 5:12pm
v9
· 3 days ago
2024-12-16 5:02pm
v8
· 3 days ago
2024-12-13 1:17pm
v7
· 6 days ago
2024-12-02 8:31pm
v6
· 17 days ago
2024-11-29 5:03pm
v5
· 20 days ago
2024-11-29 4:45pm
v4
· 20 days ago
2024-11-29 4:12pm
v3
· 20 days ago
2024-11-29 3:50pm
v2
· 20 days ago
2024-11-29 3:46pm
v1
· 20 days ago
v9
2024-12-16 5:12pm
Generated on Dec 16, 2024
1069 Total Images
View All Images
Dataset Split
Train Set 84%
900Images
Valid Set 9%
98Images
Test Set 7%
71Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Grayscale: Apply to 20% of images
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.5% of pixels
Cutout: 1 boxes with 20% size each