Dataset Versions

v8

2022-04-25 11:31am

Generated on Apr 25, 2022

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.
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Dataset Split

Train Set 92%
804Images
Valid Set 4%
34Images
Test Set 4%
35Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±6° Horizontal, ±6° Vertical
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -16% and +16%
Blur: Up to 0.25px
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -5° and +5°

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