Dataset Versions

v15

2023-10-16 11:06am

Generated on Oct 16, 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%
1725Images
Valid Set 8%
165Images
Test Set 4%
80Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -21% and +21%
Exposure: Between -19% and +19%
Blur: Up to 1.5px

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