Dataset Versions

v7

2022-11-07 8:18am

Generated on Nov 7, 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 85%
69Images
Valid Set 7%
6Images
Test Set 7%
6Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-57% Horizontal Region, 25-74% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -27° and +27°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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