Dataset Versions

v5

Railroad v4 - 800 images with counterexamples and augmentation

Generated on Jan 24, 2023

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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
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Dataset Split

Train Set 92%
2840Images
Valid Set 5%
160Images
Test Set 3%
89Images

Preprocessing

Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 5
Crop: 0% Minimum Zoom, 52% Maximum Zoom
Brightness: Between -35% and +35%
Exposure: Between -25% and +25%