Dataset Versions

v7

my dataset130

Generated on May 28, 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 92%
120Images
Valid Set 4%
5Images
Test Set 4%
5Images

Preprocessing

Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -16% and +16%
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -25% and +25%

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