Dataset Versions

v10

2024-01-15 8:09am

Generated on Jan 15, 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 90%
7185Images
Valid Set 9%
711Images
Test Set 1%
61Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 2 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Saturation: Between -25% and +25%
Brightness: Between -19% and +19%
Exposure: Between -4% and +4%
Blur: Up to 1.3px

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