Dataset Versions

v11

2TilingNoMosaicNoBboxAugs

Generated on Jan 24, 2024

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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 96%
2238Images
Valid Set 2%
44Images
Test Set 3%
61Images

Preprocessing

Auto-Orient: Applied
Grayscale: Applied
Tile: 2 rows x 2 columns
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -15% and +15%
Exposure: Between -5% and +5%
Blur: Up to 1px

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