Dataset Versions

v26

2022-08-16 11:05am

Generated on Aug 16, 2022

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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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1417 Total Images

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Dataset Split

Train Set 88%
1245Images
Valid Set 8%
113Images
Test Set 4%
59Images

Preprocessing

Resize: Stretch to 1024x1024
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 100% of images
Noise: Up to 2% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Brightness: Between -6% and +6%
Bounding Box: Noise: Up to 2% of pixels

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