Dataset Versions

v13

2024-10-02 10:48am

Generated on Oct 2, 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.
Other Formats
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Dataset Split

Train Set 80%
1716Images
Valid Set 13%
272Images
Test Set 8%
164Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -10% and +10%
Exposure: Between -28% and +28%
Blur: Up to 2.5px
Noise: Up to 0.93% of pixels

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