Dataset Versions

v34

Augmented for generalization

Generated on Jun 8, 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 84%
9290Images
Valid Set 12%
1279Images
Test Set 4%
434Images

Preprocessing

Resize: Stretch to 320x320
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Shear: ±15° Horizontal, ±30° Vertical
Hue: Between -17° and +17°
Noise: Up to 2% of pixels
Mosaic: Applied

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