Dataset Versions

v2

2023-02-22 11:35pm

Generated on Feb 22, 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 87%
558Images
Valid Set 8%
53Images
Test Set 4%
27Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Saturation: Between -26% and +26%
Brightness: Between -32% and +32%
Noise: Up to 3% of pixels
Cutout: 5 boxes with 11% size each

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