Dataset Versions

v13

2024-09-13 6:07pm

Generated on Sep 13, 2024

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 94%
52290Images
Valid Set 4%
2135Images
Test Set 2%
1066Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 0 remapped, 9 dropped

Augmentations

Outputs per training example: 7
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Mosaic: Applied
Bounding Box: Crop: 5% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -10% and +10%

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