Dataset Versions

v1

shoe_detection

Generated on Mar 31, 2023

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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 96%
1227Images
Valid Set 2%
22Images
Test Set 2%
26Images

Preprocessing

Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 16% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±6° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 2% of pixels

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