Dataset Versions

v1

2021-11-07 1:39am

Generated on Nov 7, 2021

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 92%
2826Images
Valid Set 5%
164Images
Test Set 2%
69Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -8° and +8°
Hue: Between -25° and +25°
Saturation: Between -16% and +16%
Brightness: Between -22% and +22%
Blur: Up to 0.5px
Noise: Up to 5% of pixels

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