dfp Dataset
v9
2024-06-08 4:23pm
Generated on Jun 8, 2024
2240 Total Images
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Dataset Split
Train Set 92%
2065Images
Valid Set 5%
111Images
Test Set 3%
64Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 66% of images to contain annotations.
Augmentations
Outputs per training example: 5
Flip: Horizontal
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px