Dataset Versions

v9

2024-11-28 10:26am

Generated on Nov 28, 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 95%
4011Images
Valid Set 5%
221Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±14° Horizontal, ±13° Vertical
Hue: Between -18° and +18°
Saturation: Between -25% and +25%
Brightness: Between -23% and +23%
Exposure: Between -15% and +15%
Blur: Up to 0.6px
Noise: Up to 1.09% of pixels

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