Dataset Versions

v5

2023-12-31 6:19pm

Generated on Dec 31, 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 88%
1575Images
Valid Set 8%
150Images
Test Set 4%
75Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 25% of images
Saturation: Between -71% and +71%
Brightness: Between -43% and +43%
Exposure: Between -20% and +20%
Blur: Up to 1px
Mosaic: Applied

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