Dataset Versions

v9

2024-05-23 7:30pm

Generated on May 23, 2024

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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 88%
732Images
Valid Set 6%
52Images
Test Set 6%
51Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-87% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Shear: ±12° Horizontal, ±14° Vertical
Grayscale: Apply to 16% of images
Blur: Up to 2.5px

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