Dataset Versions

v1

2023-11-17 2:35pm

Generated on Nov 17, 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 87%
1146Images
Valid Set 8%
109Images
Test Set 4%
55Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1280x1280

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 1.5px
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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