Dataset Versions

v1

2024-02-10 11:48am

Generated on Feb 10, 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%
339Images
Valid Set 6%
22Images
Test Set 4%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -8° and +8°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 7% of images
Saturation: Between -32% and +32%
Brightness: Between -24% and +24%
Blur: Up to 1.4px

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