Willem Lannoye

Monton Daival

Object Detection

Monton Daival Image Dataset

v2

2023-09-29 3:26pm

Generated on Sep 29, 2023

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Dataset Split

Train Set 94%
282Images
Valid Set 4%
11Images
Test Set 2%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Shear: ±8° Horizontal, ±8° Vertical
Bounding Box: Blur: Up to 2.5px