Dataset Versions

v3

fire_head_headhelmet_person_smoke2023-12-06 12-39pm

Generated on Dec 6, 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 92%
15405Images
Valid Set 4%
626Images
Test Set 4%
626Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 800x800

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -5° and +5°
Shear: ±2° Horizontal, ±2° Vertical
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 0.5px

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