Dataset Versions

v5

Versi 5

Generated on Mar 31, 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.
Other Formats
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Dataset Split

Train Set 70%
2172Images
Valid Set 20%
621Images
Test Set 10%
310Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Blur: Up to 3px
Noise: Up to 3% of pixels
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Blur: Up to 3px

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