Dataset Versions

v7

2024-11-01 3:53pm

Generated on Nov 1, 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 82%
15468Images
Valid Set 13%
2414Images
Test Set 6%
1056Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1400x1050

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±2° Horizontal, ±2° Vertical
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Blur: Up to 0.7px
Cutout: 5 boxes with 3% size each