Dataset Versions

v1

2024-03-13 5:24am

Generated on Mar 13, 2024

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 94%
8099Images
Valid Set 4%
321Images
Test Set 2%
170Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640

Augmentations

Outputs per training example: 7
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -14% and +14%
Blur: Up to 1.9px
Noise: Up to 1.21% of pixels

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