firedetection Dataset

v2

2023-05-05 12:00pm

Generated on May 5, 2023

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Pascal VOC XML
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PaliGemma
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Dataset Split

Train Set 87%
423Images
Valid Set 8%
41Images
Test Set 5%
23Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x1280

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 42% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 8% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied

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