Brad Dwyer

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Oxford Pets

Object Detection

Oxford Pets Image Dataset

Try Pre-Trained Model
Versions
aug
v3
Nov 30, 2020
by-species
v2
Nov 30, 2020
by-breed
v1
Nov 30, 2020
v3

aug

Generated on Nov 30, 2020
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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
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13984 Total Images

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Dataset Split

Train Set 92%
12880Images
Valid Set 5%
736Images
Test Set 3%
368Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 5
Flip: Horizontal
Crop: 0% Minimum Zoom, 35% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 10% of images
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -30% and +30%
Exposure: Between -10% and +10%
Blur: Up to 1.25px