Dataset Versions
Versions
v2
V2 640
Generated on Oct 3, 2023
4800 Total Images
View All Images
Dataset Split
Train Set 88%
4200Images
Valid Set 8%
400Images
Test Set 4%
200Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±20° Horizontal, ±20° Vertical
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Blur: Up to 2px
Mosaic: Applied