Dataset Versions

v8

2022-12-06 12:28pm

Generated on Dec 6, 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.
Other Formats
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Dataset Split

Train Set 79%
1920Images
Valid Set 12%
287Images
Test Set 9%
213Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Saturation: Between -15% and +15%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%

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