Dataset Versions

v17

extra_belt_phone

Generated on Jul 2, 2023

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 98%
4803Images
Valid Set 1%
59Images
Test Set 1%
34Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 8 remapped, 8 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -17° and +17°
Saturation: Between -50% and +50%
Brightness: Between -30% and +30%
Exposure: Between -9% and +9%
Blur: Up to 1px
Noise: Up to 4% of pixels

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