graduation project

Esm3ny

Object Detection

Esm3ny Image Dataset

v1

2024-04-04 12:30pm

Generated on Apr 4, 2024

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Dataset Split

Train Set 90%
6048Images
Valid Set 6%
403Images
Test Set 4%
268Images

Preprocessing

Resize: Fill (with center crop) in 1000x1200

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 36% Maximum Zoom
Rotation: Between -11° and +11°
Shear: ±15° Horizontal, ±12° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -38% and +38%
Noise: Up to 2.75% of pixels
Cutout: 14 boxes with 6% size each