Dataset Versions

v13

2023-06-22 1:37am

Generated on Jun 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 85%
4360Images
Valid Set 9%
483Images
Test Set 6%
298Images

Preprocessing

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

Augmentations

Outputs per training example: 2
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 1% of pixels
Mosaic: Applied
Bounding Box: Blur: Up to 0.5px
Bounding Box: Noise: Up to 2% of pixels

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