final_v2 Dataset
Versions
v1
v1
Generated on Sep 30, 2024
2665 Total Images
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Dataset Split
Train Set 91%
2412Images
Valid Set 6%
162Images
Test Set 3%
91Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels