Dataset Versions
v3
2024-10-17 3:29am
Generated on Oct 17, 2024
7674 Total Images
View All Images
Dataset Split
Train Set 81%
6252Images
Valid Set 12%
913Images
Test Set 7%
509Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 2
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Saturation: Between -33% and +33%
Brightness: Between -28% and +28%
Exposure: Between -18% and +18%
Noise: Up to 0.3% of pixels
Bounding Box: Blur: Up to 0.9px