Dataset Versions

v6

2024-11-12 4:33pm

Generated on Nov 12, 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%
8090Images
Valid Set 9%
823Images
Test Set 4%
347Images

Preprocessing

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

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Saturation: Between -30% and +30%
Blur: Up to 2.5px
Noise: Up to 1.99% of pixels

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