Dataset Versions

v7

2024-05-18 8:21pm

Generated on May 18, 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%
2196Images
Valid Set 8%
209Images
Test Set 4%
105Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Saturation: Between -30% and +30%
Brightness: Between -22% and +22%
Exposure: Between -11% and +11%
Cutout: 7 boxes with 8% size each
Bounding Box: Noise: Up to 1.5% of pixels

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