Dataset Versions

v3

2024-09-20 5:46pm

Generated on Sep 20, 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 82%
4846Images
Valid Set 12%
693Images
Test Set 6%
346Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -10° and +10°
Saturation: Between -5% and +5%
Brightness: Between -15% and +15%
Exposure: Between -5% and +5%
Blur: Up to 0.5px
Noise: Up to 0.5% of pixels

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