Dataset Versions

v5

Version_2classes

Generated on Dec 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 87%
4656Images
Valid Set 8%
446Images
Test Set 4%
223Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 6 remapped, 3 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Saturation: Between -52% and +52%

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