Dataset Versions

v7

Lars 2

Generated on Nov 17, 2024

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.
Other Formats
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Dataset Split

Train Set 92%
22510Images
Valid Set 4%
983Images
Test Set 4%
960Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 200x200
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 5
Rotation: Between -12° and +12°
Shear: ±9° Horizontal, ±10° Vertical
Saturation: Between -45% and +45%
Brightness: Between 0% and +70%
Exposure: Between -15% and +15%
Blur: Up to 2.3px
Noise: Up to 1.91% of pixels
Cutout: 2 boxes with 23% size each

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