Dataset Versions

v2

2024-01-21 6:29pm

Generated on Jan 21, 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 85%
14706Images
Valid Set 6%
980Images
Test Set 10%
1659Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 384x384

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -5% and +5%
Blur: Up to 1.4px
Noise: Up to 1.53% of pixels

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