Dataset Versions

v10

2022-08-29 3:50am

Generated on Aug 28, 2022

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.
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Dataset Split

Train Set 84%
1659Images
Valid Set 12%
232Images
Test Set 5%
90Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 21 remapped, 2 dropped
Filter Null: Do not filter any null images.

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
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -12% and +12%
Cutout: 3 boxes with 10% size each

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