Dataset Versions

v7

2023-07-19 2:44pm

Generated on Jul 19, 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 86%
480Images
Valid Set 8%
43Images
Test Set 7%
37Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 3 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Brightness: Between -25% and +25%
Exposure: Between -34% and +34%
Bounding Box: Noise: Up to 5% of pixels

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