VISIONALIGN Dataset

v19

2024-10-21 9:22pm

Generated on Oct 21, 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 67%
60Images
Valid Set 17%
15Images
Test Set 17%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 480x480
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 1% Minimum Zoom, 27% Maximum Zoom
Grayscale: Apply to 25% of images
Saturation: Between -11% and +11%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2.3px
Noise: Up to 0.06% of pixels

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