Dataset Versions

v16

2023-05-21 6:30am

Generated on May 21, 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 86%
447Images
Valid Set 8%
41Images
Test Set 6%
29Images

Preprocessing

Resize: Stretch to 320x180

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -50° and +50°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 1% of pixels

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