subsea Dataset
v1
2024-09-12 6:16pm
Generated on Sep 12, 2024
3532 Total Images
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Dataset Split
Train Set 90%
3180Images
Valid Set 7%
256Images
Test Set 3%
96Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Dynamic Crop: Class: Coral
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Brightness: Between -20% and +20%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 0.1% of pixels