Dataset Versions

v1

Generated dataset

Generated on Jul 14, 2023

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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 87%
15303Images
Valid Set 9%
1496Images
Test Set 4%
755Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 11 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -8° and +8°
Brightness: Between -25% and +25%
Bounding Box: Noise: Up to 2% of pixels

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