Dataset Versions

v6

2024-01-19 10:56am

Generated on Jan 19, 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 87%
798Images
Valid Set 8%
76Images
Test Set 4%
41Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 168x240
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

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

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