Dataset Versions

v2

2023-06-10 3:10pm

Generated on Jun 10, 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%
3846Images
Valid Set 9%
400Images
Test Set 3%
115Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x1280

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -12° and +12°
Brightness: Between -35% and +35%
Blur: Up to 1.5px
Noise: Up to 4% of pixels
Cutout: 4 boxes with 5% size each

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