Dataset Versions

v3

2024-06-03 11:28am

Generated on Jun 3, 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 88%
402Images
Valid Set 8%
37Images
Test Set 4%
20Images

Preprocessing

Auto-Orient: Applied
Static Crop: 6-94% Horizontal Region, 29-86% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±12° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Blur: Up to 2.3px

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