3cls ghostnet with v8 merged extra images 2

Object Detection

Dataset Versions

v3

1500dts

Generated on Aug 20, 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 92%
1200Images
Valid Set 4%
50Images
Test Set 4%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 1024x1024
Grayscale: Applied
Modify Classes: 4 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Noise: Up to 1.49% of pixels

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