Dataset Versions

v1

2024-06-24 5:18am

Generated on Jun 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.
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Dataset Split

Train Set 92%
882Images
Valid Set 4%
37Images
Test Set 4%
37Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 256x256

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Blur: Up to 1px

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