Dataset Versions
v1
2024-09-20 9:31pm
Generated on Sep 20, 2024
1464 Total Images
View All Images
Dataset Split
Train Set 100%
1464Images
Valid Set %
0Images
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: 0% Minimum Zoom, 4% Maximum Zoom
Rotation: Between -1° and +1°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 10% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -10% and +10%
Exposure: Between -5% and +5%
Blur: Up to 0.4px
Noise: Up to 0.1% of pixels
Cutout: 1 boxes with 0% size each