Dataset Versions

v2

LED casing Defect

Generated on Sep 16, 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%
168Images
Valid Set 8%
16Images
Test Set 4%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -18° and +18°
Shear: ±15° Horizontal, ±12° Vertical
Grayscale: Apply to 100% of images
Hue: Between -74° and +74°
Brightness: Between -25% and +25%
Exposure: Between -45% and +45%
Blur: Up to 1px
Noise: Up to 1% of pixels
Bounding Box: Noise: Up to 2% of pixels