Dataset Versions

v2

2023-05-07 11:09am

Generated on May 6, 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 88%
3549Images
Valid Set 8%
337Images
Test Set 4%
169Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 600x600

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 4px
Bounding Box: Noise: Up to 10% of pixels

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