Dataset Versions

v5

2023-07-14 4:11pm

Generated on Jul 14, 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 86%
7572Images
Valid Set 9%
757Images
Test Set 6%
505Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 100% of images
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 3% of pixels

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