Dataset Versions

v1

sw3-last

Generated on Jun 27, 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%
546Images
Valid Set 8%
48Images
Test Set 4%
27Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 720x720
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 16% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -11% and +11%
Exposure: Between -25% and +25%
Blur: Up to 4px

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