Dataset Versions

v18

2023-04-21 11:28pm

Generated on Apr 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 84%
1923Images
Valid Set 12%
266Images
Test Set 5%
105Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 16 remapped, 5 dropped
Filter Null: Require at least 14% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -14% and +14%
Exposure: Between -12% and +12%
Blur: Up to 1.75px

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