Dataset Versions

v6

2024-02-13 9:31pm

Generated on Feb 13, 2024

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%
342Images
Valid Set 8%
33Images
Test Set 4%
16Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Saturation: Between -11% and +11%
Exposure: Between -6% and +6%
Cutout: 4 boxes with 10% size each
Bounding Box: Brightness: Between -15% and +15%

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