Dataset Versions

v9

2022-10-30 9:45am

Generated on Oct 30, 2022

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 87%
3285Images
Valid Set 8%
311Images
Test Set 4%
168Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 0 remapped, 2 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 49% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -104° and +104°
Brightness: Between -25% and +25%
Blur: Up to 3.75px
Noise: Up to 2% of pixels
Cutout: 14 boxes with 10% size each
Mosaic: Applied
Bounding Box: Exposure: Between -51% and +51%
Bounding Box: Noise: Up to 5% of pixels

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