Dataset Versions

v2

2nd

Generated on Dec 3, 2021

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 87%
219Images
Valid Set 8%
21Images
Test Set 4%
11Images

Preprocessing

Resize: Fit (reflect edges) in 416x208
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Brightness: Between -11% and +11%
Exposure: Between -15% and +15%
Blur: Up to 6.5px
Noise: Up to 5% of pixels