Dataset Versions

v3

kayayuyee1

Generated on Mar 11, 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 88%
882Images
Valid Set 8%
84Images
Test Set 4%
42Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Fit within 416x416
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 21% of images
Noise: Up to 4% of pixels

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