Dataset Versions
Versions
v1
2022-08-01 8:56am
Generated on Aug 1, 2022
84 Total Images
View All Images
Dataset Split
Train Set 96%
81Images
Valid Set 4%
3Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 20% of images
Hue: Between -90° and +90°
Saturation: Between -50% and +50%
Brightness: Between -30% and +30%
Exposure: Between -21% and +21%
Blur: Up to 2px
Noise: Up to 3% of pixels
Cutout: 3 boxes with 10% size each