plagiariserpraveena Dataset

v42

2024-10-17 10:42pm

Generated on Oct 17, 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 87%
15987Images
Valid Set 9%
1567Images
Test Set 4%
761Images

Preprocessing

Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -4° and +4°
Shear: ±12° Horizontal, ±12° Vertical
Grayscale: Apply to 3% of images
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 1.3px
Noise: Up to 1.56% of pixels