Dataset Versions

v5

2023-01-12 9:25pm

Generated on Jan 13, 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 87%
525Images
Valid Set 8%
51Images
Test Set 5%
28Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 60% Maximum Zoom
Shear: ±39° Horizontal, ±19° Vertical
Grayscale: Apply to 25% of images
Exposure: Between -46% and +46%
Blur: Up to 14.25px
Noise: Up to 13% of pixels

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