Dataset Versions

v2

2023-11-23 8:42pm

Generated on Nov 23, 2023

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%
243Images
Valid Set 8%
23Images
Test Set 4%
11Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±36° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -38% and +38%
Brightness: Between -25% and +25%
Cutout: 3 boxes with 10% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom

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