Dataset Versions

v13

2024-10-24 7:40am

Generated on Oct 24, 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 98%
852Images
Valid Set 1%
11Images
Test Set 1%
9Images

Preprocessing

Static Crop: 0-71% Horizontal Region, 0-75% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 26% Maximum Zoom
Rotation: Between -7° and +7°
Shear: ±6° Horizontal, ±5° Vertical
Hue: Between -22° and +22°
Saturation: Between -31% and +31%
Brightness: Between -20% and +20%
Exposure: Between -11% and +11%
Blur: Up to 9.8px
Noise: Up to 0.22% of pixels
Bounding Box: Brightness: Between -18% and +18%
Bounding Box: Blur: Up to 5px

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