Dataset Versions

v3

2023-06-22 9:10pm

Generated on Jun 22, 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.
Other Formats
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Dataset Split

Train Set 79%
5222Images
Valid Set 12%
763Images
Test Set 9%
584Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Rotation: Between -5° and +5°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%

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