Dataset Versions

v1

2023-08-21 2:06pm

Generated on Aug 21, 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 94%
25497Images
Valid Set 6%
1500Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -20° and +20°
Saturation: Between -18% and +18%
Brightness: Between -12% and +12%
Blur: Up to 2px
Noise: Up to 1% of pixels

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