eBiSEEKLeta

Traffic Model

Object Detection

Traffic Model Image Dataset

v11

2023-07-18 8:35pm

Generated on Jul 18, 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 88%
1050Images
Valid Set 8%
98Images
Test Set 4%
52Images

Preprocessing

Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -29% and +29%
Blur: Up to 2.75px
Noise: Up to 4% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down