Dataset Versions

v2

2024-11-10 8:13am

Generated on Nov 10, 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 92%
513Images
Valid Set 4%
22Images
Test Set 4%
21Images

Preprocessing

Resize: Fit (black edges) in 300x150
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -7° and +7°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px

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