Dataset Versions

v7

2024-07-28 6:46pm

Generated on Jul 28, 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.
Other Formats
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Dataset Split

Train Set 88%
4125Images
Valid Set 8%
388Images
Test Set 4%
188Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1280x1024

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 8% Maximum Zoom
Saturation: Between -20% and +20%
Noise: Up to 1.05% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Exposure: Between -24% and +24%

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