Dataset Versions

v2

2024-11-21 7:53pm

Generated on Nov 22, 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 84%
132Images
Valid Set 11%
17Images
Test Set 6%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 2
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -25% and +25%
Exposure: Between -15% and +15%
Noise: Up to 0.2% of pixels
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical

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