Dataset Versions

v2

2024-03-12 8:07pm

Generated on Mar 12, 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.
Other Formats
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Dataset Split

Train Set 81%
1440Images
Valid Set 9%
166Images
Test Set 9%
167Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -73% and +73%
Exposure: Between -32% and +32%
Blur: Up to 4.4px
Noise: Up to 2.28% of pixels
Cutout: 3 boxes with 12% size each

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