pole detect Dataset

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2023-02-21 6:12pm
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a year ago
2023-02-21 5:59pm
v1
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a year ago
v2

2023-02-21 6:12pm

Generated on Feb 21, 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.
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CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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8160 Total Images

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Dataset Split

Train Set 85%
6960Images
Valid Set 8%
688Images
Test Set 6%
512Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 4 rows x 4 columns

Augmentations

Outputs per training example: 3
Rotation: Between -25° and +25°
Shear: ±26° Horizontal, ±27° Vertical
Grayscale: Apply to 30% of images
Brightness: Between -37% and +37%
Exposure: Between -38% and +38%
Blur: Up to 4.5px
Noise: Up to 4% of pixels
Cutout: 3 boxes with 16% size each