Dataset Versions

v2

2023-11-12 10:43am

Generated on Nov 12, 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 86%
3054Images
Valid Set 9%
336Images
Test Set 5%
167Images

Preprocessing

Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Crop: 10% Minimum Zoom, 40% Maximum Zoom
Grayscale: Apply to 40% of images
Saturation: Between -40% and +40%
Brightness: Between -45% and +45%