Dataset Versions

v3

2024-09-05 2:44am

Generated on Sep 5, 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 97%
2037Images
Valid Set 2%
52Images
Test Set 1%
18Images

Preprocessing

Resize: Fit within 320x320

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -32% and +32%
Brightness: Between -17% and +17%
Blur: Up to 0.9px
Noise: Up to 0.54% of pixels

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