Doctoria

yaz+

Object Detection

yaz+ Image Dataset

v2

2024-04-03 5:11am

Generated on Apr 3, 2024

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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 87%
1020Images
Valid Set 8%
99Images
Test Set 4%
47Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-54% Horizontal Region, 14-61% Vertical Region
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Noise: Up to 0.1% of pixels
Bounding Box: Flip: Horizontal
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Blur: Up to 3.9px

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