Dataset Versions

v4

tags_0123456789

Generated on Aug 30, 2021

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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%
936Images
Valid Set 8%
86Images
Test Set 4%
45Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 416x416

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Noise: Up to 5% of pixels
Cutout: 3 boxes with 20% size each

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