Dataset Versions

v1

ROBOFLOW DESIGN_1

Generated on Feb 23, 2022

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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
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Dataset Split

Train Set 88%
90Images
Valid Set 8%
8Images
Test Set 4%
4Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 43% Maximum Zoom
Rotation: Between -31° and +31°
Brightness: Between -38% and +38%
Bounding Box: Crop: 0% Minimum Zoom, 41% Maximum Zoom
Bounding Box: Shear: ±28° Horizontal, ±22° Vertical
Bounding Box: Blur: Up to 16px

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