Dataset Versions

v2

2022-01-12 11:33am

Generated on Jan 12, 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 100%
4272Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 30-75% Horizontal Region, 30-75% Vertical Region
Resize: Stretch to 608x608

Augmentations

Outputs per training example: 3
Flip: Horizontal
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Cutout: 3 boxes with 10% size each
Bounding Box: Blur: Up to 2.5px

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