Wen Yang Lim

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FYP

Object Detection

FYP Image Dataset

Try Pre-Trained Model
Versions
Augmented
v4
Oct 14, 2022
1920x1080
v3
Mar 18, 2022
640x416
v2
Mar 16, 2022
FYP Preprocess
v1
Feb 17, 2022
v4

Augmented

Generated on Oct 14, 2022
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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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2357 Total Images

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Dataset Split

Train Set 96%
2260Images
Valid Set 3%
63Images
Test Set 1%
34Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 10
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -1° and +1°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 5% of images
Hue: Between -30° and +30°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -5% and +5%
Blur: Up to 0.5px