Dataset Versions

v4

2023-07-13 12:43am

Generated on Jul 12, 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 93%
1125Images
Valid Set 5%
60Images
Test Set 2%
30Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 28 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 49% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Saturation: Between -69% and +69%
Brightness: Between -59% and +59%
Exposure: Between -36% and +36%
Blur: Up to 3.75px
Noise: Up to 4% of pixels
Cutout: 1 boxes with 5% size each

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