Dataset Versions

v9

2023-06-10 11:58am

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 92%
2460Images
Valid Set 6%
151Images
Test Set 2%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 800x800
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°

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