Dataset Versions

v1

2022-07-15 10:45am

Generated on Jul 15, 2022

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.
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Dataset Split

Train Set 88%
885Images
Valid Set 8%
79Images
Test Set 5%
46Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1286x1809
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -6° and +6°
Shear: ±8° Horizontal, ±3° Vertical
Grayscale: Apply to 100% of images
Saturation: Between -32% and +32%
Exposure: Between -16% and +16%
Blur: Up to 1.25px
Noise: Up to 5% of pixels
Bounding Box: Rotation: Between -12° and +12°
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 3px
Bounding Box: Noise: Up to 5% of pixels

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