Dataset Versions
v3
2024-05-03 2:01am
Generated on May 2, 2024
75 Total Images
View All ImagesDataset Split
Train Set 100%
75Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 3% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -14° and +14°
Grayscale: Apply to 2% of images
Saturation: Between -36% and +36%
Exposure: Between -15% and +15%
Blur: Up to 0.6px
Noise: Up to 0.46% of pixels
Cutout: 6 boxes with 5% size each