Dataset Versions

v4

2024-03-04 3:15pm

Generated on Mar 4, 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 86%
15042Images
Valid Set 13%
2299Images
Test Set 1%
166Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Saturation: Between -29% and +29%
Brightness: Between -21% and +21%
Blur: Up to 1.5px
Noise: Up to 1.68% of pixels

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