Dataset Versions

v1

dataset-vut

Generated on May 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
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set %
0Images
Valid Set %
0Images
Test Set 100%
5Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 542x547

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%

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