Dataset Versions

v1

2024-01-04 2:20pm

Generated on Jan 4, 2024

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.
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Dataset Split

Train Set 87%
2046Images
Valid Set 8%
196Images
Test Set 4%
100Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 24% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -21% and +21%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 0.18% of pixels

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