Dataset Versions

v12

2024-08-21 6:40pm

Generated on Aug 21, 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 92%
37350Images
Valid Set 5%
2135Images
Test Set 3%
1066Images

Preprocessing

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

Augmentations

Outputs per training example: 5
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: Brightness: Between -15% and +15%

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