Dataset Versions

v4

final

Generated on May 18, 2022

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.
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Dataset Split

Train Set 99%
4083Images
Valid Set 1%
27Images
Test Set 1%
30Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -45° and +45°
Grayscale: Apply to 43% of images
Hue: Between -87° and +87°
Exposure: Between -38% and +38%
Blur: Up to 3px
Bounding Box: Shear: ±19° Horizontal, ±20° Vertical

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