Dataset Versions

v4

2024-04-29 10:48am

Generated on Apr 29, 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 82%
996Images
Valid Set 9%
113Images
Test Set 8%
103Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 0.5px

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