Dataset Versions

v7

2024-10-12 7:07am

Generated on Oct 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.
Other Formats
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Dataset Split

Train Set 87%
4536Images
Valid Set 8%
435Images
Test Set 4%
218Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -6° and +6°
Hue: Between -6° and +6°
Saturation: Between -7% and +7%
Brightness: Between -9% and +9%
Blur: Up to 1px
Noise: Up to 1.96% of pixels

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