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