Dataset Versions

v13

2024-05-30 10:00am

Generated on May 30, 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.
Other Formats
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Dataset Split

Train Set 77%
1626Images
Valid Set 12%
249Images
Test Set 11%
237Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±14° Vertical
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Blur: Up to 1.6px
Noise: Up to 1.92% of pixels

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