Dataset Versions

v6

2024-11-20 4:57pm

Generated on Nov 20, 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 90%
384Images
Valid Set 7%
28Images
Test Set 4%
16Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -14° and +14°
Grayscale: Apply to 15% of images
Brightness: Between -25% and +25%
Exposure: Between -14% and +14%
Blur: Up to 2.4px
Noise: Up to 1.76% of pixels

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