Dataset Versions

v6

2023-06-20 9:05am

Generated on Jun 20, 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 91%
4059Images
Valid Set 6%
248Images
Test Set 4%
175Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 6% Minimum Zoom, 8% Maximum Zoom
Saturation: Between -5% and +5%
Brightness: Between -18% and +18%
Exposure: Between -4% and +4%
Noise: Up to 3% of pixels
Bounding Box: Blur: Up to 0.5px
Bounding Box: Noise: Up to 3% of pixels

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