Dataset Versions

v3

2022-05-26 5:59am

Generated on May 25, 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 90%
13854Images
Valid Set 7%
1073Images
Test Set 3%
538Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Saturation: Between -63% and +63%
Blur: Up to 1px
Noise: Up to 2% of pixels
Mosaic: Applied
Bounding Box: Shear: ±23° Horizontal, ±21° Vertical

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