Dataset Versions
Versions
v1
2022-02-12 4:04pm
Generated on Feb 12, 2022
712 Total Images
View All Images
Dataset Split
Train Set 90%
639Images
Valid Set 6%
44Images
Test Set 4%
29Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Saturation: Between -15% and +15%
Brightness: Between -30% and +30%
Exposure: Between -20% and +20%
Blur: Up to 7.5px
Noise: Up to 3% of pixels