Dataset Versions

v2

2023-04-28 4:26pm

Generated on Apr 28, 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 87%
888Images
Valid Set 8%
84Images
Test Set 4%
43Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1920x1080
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 4 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -8% and +8%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Noise: Up to 5% of pixels

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