Dataset Versions

v5

2023-04-18 9:42pm

Generated on Apr 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 81%
4890Images
Valid Set 9%
563Images
Test Set 9%
562Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 2 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Saturation: Between -9% and +9%
Brightness: Between -9% and +9%
Exposure: Between -9% and +9%
Noise: Up to 5% of pixels

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