NJAU

DETECTION

Object Detection

DETECTION Image Dataset

v2

2023-10-30 12:27pm

Generated on Oct 30, 2023

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Dataset Split

Train Set 86%
18Images
Valid Set 10%
2Images
Test Set 5%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 480x480

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 50% of images
Hue: Between -101° and +101°
Noise: Up to 0% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 54% Maximum Zoom