Dataset Versions
v3
2024-09-03 6:11pm
Generated on Sep 3, 2024
36 Total Images
View All Images
Dataset Split
Train Set %
0Images
Valid Set 100%
36Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Exposure: Between -10% and +10%
Blur: Up to 2.5px