Dataset Versions
v1
2023-06-01 12:17pm
Generated on Jun 1, 2023
5717 Total Images
View All Images
Dataset Split
Train Set 93%
5292Images
Valid Set 7%
425Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 7 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -50% and +50%
Exposure: Between -20% and +20%
Blur: Up to 1px
Noise: Up to 3% of pixels