Dataset Versions

v2

traffic_dataset_2

Generated on Dec 16, 2021

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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 88%
2778Images
Valid Set 8%
264Images
Test Set 4%
132Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 2 remapped, 30 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 39% Maximum Zoom
Saturation: Between -45% and +45%
Brightness: Between -36% and +36%
Noise: Up to 3% of pixels

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