Dataset Versions

v5

2024-09-24 6:10pm

Generated on Sep 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.
Other Formats
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Dataset Split

Train Set 87%
2202Images
Valid Set 8%
210Images
Test Set 4%
105Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 49% Maximum Zoom
Rotation: Between -22° and +22°
Shear: ±22° Horizontal, ±44° Vertical
Hue: Between -56° and +56°
Brightness: Between -45% and +45%
Exposure: Between -32% and +32%
Blur: Up to 7.3px
Cutout: 3 boxes with 54% size each
Mosaic: Applied

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