instance_Seg Computer Vision Dataset
861 Total Images
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Dataset Split
Train Set 88%
753Images
Valid Set 6%
54Images
Test Set 6%
54Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Random Sample: Include 100% train, 100% valid, 100% test
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%