Dataset Versions

v14

Final-blurr

Generated on Dec 31, 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%
600Images
Valid Set 3%
24Images
Test Set 11%
80Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 416x416
Modify Classes: 0 remapped, 5 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -30° and +30°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -40% and +40%
Exposure: Between -15% and +15%
Blur: Up to 1px

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