Leul Aerial Image

aireal-image

Instance Segmentation

aireal-image Image Dataset

v2

2023-05-16 7:16pm

Generated on May 16, 2023

Dataset Split

Train Set 86%
1365Images
Valid Set 6%
100Images
Test Set 7%
117Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.25px
Noise: Up to 5% of pixels
Cutout: 4 boxes with 10% size each