Dataset Versions

v17

2024-06-04 12:56pm

Generated on Jun 4, 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 75%
1554Images
Valid Set 15%
303Images
Test Set 10%
207Images

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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