Dataset Versions

v27

2023-07-25 4:21am

Generated on Jul 24, 2023

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%
4761Images
Valid Set 6%
302Images
Test Set 2%
100Images

Preprocessing

Resize: Stretch to 640x480
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 40% Maximum Zoom
Rotation: Between -7° and +7°
Shear: ±5° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Blur: Up to 2px
Noise: Up to 10% of pixels

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