Dataset Versions

v4

gourdesv4

Generated on Mar 21, 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 87%
195Images
Valid Set 9%
20Images
Test Set 4%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Brightness: Between -41% and +41%
Blur: Up to 3.75px
Noise: Up to 5% of pixels
Cutout: 4 boxes with 23% size each
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Noise: Up to 2% of pixels

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