Dataset Versions
Versions
v1
Thin_1363
Generated on Jun 28, 2024
1363 Total Images
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Dataset Split
Train Set 90%
1227Images
Valid Set 10%
136Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 15% of images
Hue: Between -92° and +92°
Saturation: Between -67% and +67%
Brightness: Between -40% and +40%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 1.56% of pixels