dfpsemantic Dataset
v3
2024-06-27 5:46am
Generated on Jun 27, 2024
1209 Total Images
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Dataset Split
Train Set 97%
1175Images
Valid Set 1%
18Images
Test Set 1%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1920x1920
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require at least 59% of images to contain annotations.
Augmentations
Outputs per training example: 5
Flip: Horizontal
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
Noise: Up to 0.1% of pixels
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 0.1% of pixels