Dataset Versions

v1

2023-02-01 2:22pm

Generated on Feb 1, 2023

Popular Download Formats

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.
Other Formats
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Dataset Split

Train Set 85%
489Images
Valid Set 11%
63Images
Test Set 4%
26Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 2048x2048

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -3° and +3°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -5% and +5%
Blur: Up to 0.75px

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