Dataset Versions
Versions
v1
2022-08-01 10:41am
Generated on Aug 1, 2022
1598 Total Images
View All Images
Dataset Split
Train Set 92%
1476Images
Valid Set 8%
122Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 20% of images
Hue: Between -90° and +90°
Saturation: Between -50% and +50%
Brightness: Between -50% and +50%
Exposure: Between -50% and +50%
Blur: Up to 2px
Noise: Up to 3% of pixels
Cutout: 5 boxes with 5% size each