Dataset Versions

v5

2024-04-10 8:04am

Generated on Apr 10, 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.
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Dataset Split

Train Set 87%
1212Images
Valid Set 8%
117Images
Test Set 4%
57Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 225x225
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 4.9px
Noise: Up to 0.53% of pixels
Cutout: 3 boxes with 10% size each

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