Dataset Versions

v4

raghad-v1

Generated on Nov 15, 2021

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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 87%
7341Images
Valid Set 9%
743Images
Test Set 4%
323Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 416x416
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Hue: Between -25° and +25°
Noise: Up to 5% of pixels

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