Aerial detection

anushaasan

Object Detection

anushaasan Image Dataset

v8

2022-11-27 9:49pm

Generated on Nov 27, 2022

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Dataset Split

Train Set 92%
2775Images
Valid Set 8%
235Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 608x608
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 13 remapped, 1 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 24% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±24° Horizontal, ±15° Vertical
Hue: Between -21° and +21°
Saturation: Between -25% and +25%
Exposure: Between -28% and +28%
Cutout: 9 boxes with 1% size each
Mosaic: Applied