Dataset Versions

v6

2023-03-28 7:57pm

Generated on Mar 28, 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 95%
1074Images
Valid Set 3%
35Images
Test Set 2%
27Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Shear: ±6° Horizontal, ±19° Vertical
Grayscale: Apply to 11% of images
Brightness: Between -35% and +35%
Blur: Up to 2.75px
Cutout: 7 boxes with 7% size each
Bounding Box: Rotation: Between -14° and +14°
Bounding Box: Noise: Up to 9% of pixels

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