Dataset Versions

v3

third_2x3

Generated on Jun 24, 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 85%
954Images
Valid Set 8%
84Images
Test Set 7%
78Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1280x720
Tile: 2 rows x 3 columns

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1px