Dataset Versions
v4
2024-01-02 1:30pm
Generated on Jan 2, 2024
1200 Total Images
View All Images
Dataset Split
Train Set 90%
1080Images
Valid Set 7%
80Images
Test Set 3%
40Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-70% Horizontal Region, 25-75% Vertical Region
Dynamic Crop: Class: Ace of Cups
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±23° Vertical
Grayscale: Apply to 15% of images
Hue: Between -138° and +138°
Brightness: Between -56% and +56%
Exposure: Between -39% and +39%
Cutout: 13 boxes with 20% size each
Bounding Box: Noise: Up to 6.36% of pixels