Dataset Versions

v3

without-bhiwadi

Generated on Jan 30, 2023

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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 94%
1200Images
Valid Set 3%
40Images
Test Set 3%
40Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 40% Maximum Zoom
Saturation: Between -40% and +40%
Brightness: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 1% of pixels
Cutout: 5 boxes with 15% size each

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