Dataset Versions

v3

12-8_V1

Generated on Dec 8, 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 84%
521Images
Valid Set 9%
54Images
Test Set 8%
47Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1280x720
Grayscale: Applied

Augmentations

Outputs per training example: 3
Brightness: Between -29% and +29%
Bounding Box: Rotation: Between -5° and +5°
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical

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