yolo

defect and pass

Object Detection

defect and pass Image Dataset

v2

2023-12-13 2:00pm

Generated on Dec 13, 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 88%
2082Images
Valid Set 8%
197Images
Test Set 4%
100Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -36° and +36°
Shear: ±36° Horizontal, ±32° Vertical
Grayscale: Apply to 74% of images
Saturation: Between -48% and +48%
Mosaic: Applied
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