Dataset Versions

v2

without empty

Generated on Jun 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 94%
14691Images
Valid Set 4%
656Images
Test Set 2%
254Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 4 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Saturation: Between -45% and +45%
Brightness: Between -38% and +38%
Exposure: Between -24% and +24%
Blur: Up to 10px
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%

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