Dataset Versions

v4

2024-03-26 10:46pm

Generated on Mar 26, 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 79%
2829Images
Valid Set 12%
431Images
Test Set 9%
307Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 250x230
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -14° and +14°
Saturation: Between -25% and +25%
Blur: Up to 0.8px
Noise: Up to 1.37% of pixels

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