Dataset Versions

v4

12-10_V1

Generated on Dec 11, 2021

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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%
1518Images
Valid Set 5%
76Images
Test Set 4%
70Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 960x720
Grayscale: Applied

Augmentations

Outputs per training example: 3
Brightness: Between -40% and +40%
Cutout: 3 boxes with 20% size each
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±7° Horizontal, ±7° Vertical

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