Dataset Versions

v2

2023-01-01 12:39am

Generated on Dec 31, 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 88%
1350Images
Valid Set 8%
120Images
Test Set 4%
60Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 730x530

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -17° and +17°
Brightness: Between -25% and +25%
Blur: Up to 10px
Cutout: 5 boxes with 15% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Exposure: Between -25% and +25%

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