Dataset Versions

v4

2024-02-13 8:26pm

Generated on Feb 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 88%
3990Images
Valid Set 8%
380Images
Test Set 4%
189Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Brightness: Between -29% and +29%
Blur: Up to 3px
Cutout: 4 boxes with 17% size each
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Noise: Up to 0.1% of pixels

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