Dataset Versions

v9

V9

Generated on Apr 19, 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 86%
363Images
Valid Set 8%
33Images
Test Set 7%
28Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Rotation: Between -30° and +30°
Shear: ±21° Horizontal, ±9° Vertical
Brightness: Between -25% and +25%
Cutout: 12 boxes with 7% size each

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