Dataset Versions

v1

2023-03-01 6:55pm

Generated on Mar 1, 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.
Other Formats
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Dataset Split

Train Set 92%
933Images
Valid Set 6%
59Images
Test Set 2%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -28% and +28%
Blur: Up to 2.25px
Bounding Box: Brightness: Between -30% and +30%
Bounding Box: Exposure: Between -16% and +16%
Bounding Box: Noise: Up to 10% of pixels

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