Dataset Versions

v5

2024-07-30 2:33am

Generated on Jul 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 85%
234Images
Valid Set 8%
22Images
Test Set 7%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±12° Horizontal, ±13° Vertical
Grayscale: Apply to 7% of images
Hue: Between -22° and +22°
Exposure: Between -14% and +14%
Blur: Up to 4.5px
Noise: Up to 1.53% of pixels

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