Dataset Versions

v2

master_ADAS

Generated on May 6, 2022

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 84%
16719Images
Valid Set 10%
2027Images
Test Set 6%
1186Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 4 remapped, 7 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 30% of images
Brightness: Between -34% and +34%
Exposure: Between -20% and +20%
Blur: Up to 1.75px
Noise: Up to 3% of pixels

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