Dataset Versions

v2

2024-08-29 1:18pm

Generated on Aug 29, 2024

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 87%
558Images
Valid Set 8%
53Images
Test Set 4%
27Images

Preprocessing

Auto-Orient: Applied
Static Crop: 20-79% Horizontal Region, 21-82% Vertical Region
Dynamic Crop: Class: box
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -14° and +14°
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down

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