Dataset Versions

v4

2022-11-24 9:14pm

Generated on Nov 24, 2022

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.
Other Formats
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Dataset Split

Train Set 82%
926Images
Valid Set 12%
132Images
Test Set 6%
68Images

Preprocessing

Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 0 remapped, 3 dropped

Augmentations

Outputs per training example: 2
Shear: ±15° Horizontal, ±10° Vertical
Exposure: Between -10% and +10%
Blur: Up to 5px
Noise: Up to 5% of pixels
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%

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