project-work Dataset

v2

2024-10-05 9:35pm

Generated on Oct 5, 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 76%
12339Images
Valid Set 16%
2514Images
Test Set 8%
1278Images

Preprocessing

Resize: Fit (white edges) in 1640x1232
Grayscale: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 4.9px
Noise: Up to 1.89% of pixels

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