Dataset Versions

v1

lfw

Generated on Feb 15, 2022

Popular Download Formats

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 87%
237Images
Valid Set 8%
22Images
Test Set 5%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±27° Vertical
Grayscale: Apply to 62% of images
Hue: Between -77° and +77°
Saturation: Between -65% and +65%
Brightness: Between -67% and +67%
Blur: Up to 5.5px
Cutout: 10 boxes with 19% size each

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