Dataset Versions

v4

2022-11-29 11:01pm

Generated on Nov 29, 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 87%
3852Images
Valid Set 8%
363Images
Test Set 5%
200Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Brightness: Between -25% and +25%
Blur: Up to 4.25px
Noise: Up to 5% of pixels
Cutout: 4 boxes with 20% size each
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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