Dataset Versions

v1

2024-11-15 8:51pm

Generated on Nov 15, 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.
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Dataset Split

Train Set 87%
159Images
Valid Set 8%
15Images
Test Set 4%
8Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±31° Vertical
Grayscale: Apply to 15% of images
Hue: Between -124° and +124°
Noise: Up to 8.02% of pixels

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