Dataset Versions
v4
2024-01-10 4:24pm
Generated on Jan 10, 2024
356 Total Images
View All Images
Dataset Split
Train Set 93%
330Images
Valid Set 4%
16Images
Test Set 3%
10Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Noise: Up to 0.1% of pixels