Dataset Versions

v4

2023-05-04 11:43am

Generated on May 4, 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.
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Dataset Split

Train Set 82%
2187Images
Valid Set 9%
240Images
Test Set 9%
239Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Exposure: Between -25% and +25%
Cutout: 6 boxes with 8% size each
Mosaic: Applied
Bounding Box: Rotation: Between -31° and +31°
Bounding Box: Brightness: Between -50% and +50%

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