Dataset Versions

v10

2024-02-23 10:25am

Generated on Feb 23, 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.
Other Formats
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Dataset Split

Train Set 82%
17886Images
Valid Set 18%
4038Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -7° and +7°
Shear: ±13° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 1.05% of pixels

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