Buildings Instance Segmentation Image Dataset
resize640_aug2x
Version 2 Generated Dec 6, 2022
Train / Test Split
Training Set
82
14k
images
Validation Set
12
1.9k
images
Testing Set
6
967
images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 10% of images
Hue: Between -20° and +20°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 0.5px
Cutout: 5 boxes with 2% size each
Details
Version Name: resize640_aug2x
Version ID: 2
Generated: Dec 6, 2022
Annotation Group: buildings
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