Dataset Versions
v1
2024-09-27 2:35pm
Generated on Sep 27, 2024
29 Total Images
View All Images
Dataset Split
Train Set 97%
28Images
Valid Set 3%
1Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 7
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels