Dataset Versions

v3

2023-05-25 9:30am

Generated on May 25, 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.
Other Formats
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Dataset Split

Train Set 82%
11694Images
Valid Set 12%
1671Images
Test Set 6%
836Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x180

Augmentations

Outputs per training example: 2
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -8% and +8%
Blur: Up to 1px
Noise: Up to 1% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: Blur: Up to 1px
Bounding Box: Noise: Up to 5% of pixels

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