Dataset Versions

v5

2023-08-04 12:20pm

Generated on Aug 4, 2023

Popular Download Formats

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 82%
352Images
Valid Set 12%
50Images
Test Set 6%
25Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 5 remapped, 0 dropped

Augmentations

Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -19° and +19°
Saturation: Between -45% and +45%
Blur: Up to 2.75px
Noise: Up to 13% of pixels

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