Dataset Versions

v5

2024-03-13 11:40am

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.
Other Formats
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Dataset Split

Train Set 87%
1053Images
Valid Set 8%
101Images
Test Set 4%
50Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -15% and +15%
Brightness: Between -19% and +19%
Exposure: Between -10% and +10%
Blur: Up to 2.1px
Noise: Up to 0.49% of pixels
Bounding Box: Blur: Up to 0.6px

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