Dataset Versions

v1

2023-06-22 12:01pm

Generated on Jun 22, 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%
141Images
Valid Set 8%
13Images
Test Set 5%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 45% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±22° Horizontal, ±21° Vertical
Brightness: Between -50% and +50%
Exposure: Between -30% and +30%
Blur: Up to 1.5px
Cutout: 10 boxes with 3% size each
Mosaic: Applied

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