Dataset Versions

v4

2024-02-21 12:26pm

Generated on Feb 21, 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.
Other Formats
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Dataset Split

Train Set 82%
2769Images
Valid Set 11%
385Images
Test Set 7%
234Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Bounding Box: Flip: Horizontal
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical