Dataset Versions

v9

2023-10-25 2:30pm

Generated on Oct 25, 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 85%
3737Images
Valid Set 10%
446Images
Test Set 5%
215Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 2 dropped
Filter Null: Require at least 85% of images to contain annotations.

Augmentations

Outputs per training example: 3
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Exposure: Between -50% and +50%

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