Dataset Versions

v9

2024-07-18 8:51am

Generated on Jul 18, 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 88%
324Images
Valid Set 8%
28Images
Test Set 4%
15Images

Preprocessing

Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Shear: ±14° Horizontal, ±9° Vertical
Grayscale: Apply to 16% of images
Hue: Between -7° and +7°
Saturation: Between -12% and +12%
Brightness: Between -14% and +14%
Bounding Box: Rotation: Between -30° and +30°
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 1.6px

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