Dataset Versions

v1

2022-11-30 8:35pm

Generated on Nov 30, 2022

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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 91%
30Images
Valid Set 6%
2Images
Test Set 3%
1Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 29-70% Horizontal Region, 22-75% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -16° and +16°
Brightness: Between -25% and +25%

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