Dataset Versions

v3

2023-11-21 3:48pm

Generated on Nov 21, 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 83%
2296Images
Valid Set 12%
321Images
Test Set 6%
165Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Shear: ±22° Horizontal, ±22° Vertical
Saturation: Between -56% and +56%
Brightness: Between -25% and +25%
Blur: Up to 2.75px
Noise: Up to 5% of pixels

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