Dataset Versions

v9

2023-03-13 8:35am

Generated on Mar 13, 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 94%
6705Images
Valid Set 4%
266Images
Test Set 3%
185Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 5
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -50% and +50%
Blur: Up to 4px
Noise: Up to 7% of pixels
Cutout: 2 boxes with 26% size each
Bounding Box: Brightness: Between -25% and +25%

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