Dataset Versions

v9

2023-09-07 6:20pm

Generated on Sep 7, 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%
2241Images
Valid Set 8%
214Images
Test Set 4%
106Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 460x460

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 1px
Noise: Up to 5% of pixels
Cutout: 8 boxes with 4% size each
Bounding Box: Rotation: Between -5° and +5°

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