Dataset Versions

v2

2023-09-18 11:37am

Generated on Sep 18, 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.
Other Formats
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Dataset Split

Train Set 88%
13431Images
Valid Set 8%
1277Images
Test Set 4%
637Images

Preprocessing

Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Saturation: Between -30% and +30%
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Blur: Up to 2px
Bounding Box: Noise: Up to 5% of pixels