Akhilesh Babu. Tumati

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Aerial_photos

Instance Segmentation

Aerial_photos Image Dataset

Versions!
ada_mach_3
v3
·
2 years ago
64
ada_mach_2
v2
·
2 years ago
84
416x416
Stretch to
v3

ada_mach_3

Generated on May 20, 2022
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64 Total Images

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Dataset Split

Train Set 75%
48Images
Valid Set 13%
8Images
Test Set 13%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Modify Classes: 0 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom