Dataset Versions

v10

2024-08-13 11:25am

Generated on Aug 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.
Other Formats
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Dataset Split

Train Set 88%
735Images
Valid Set 8%
67Images
Test Set 4%
35Images

Preprocessing

Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Shear: ±6° Horizontal, ±3° Vertical
Saturation: Between -4% and +4%
Brightness: Between -5% and +5%
Bounding Box: Rotation: Between -2° and +2°
Bounding Box: Shear: ±2° Horizontal, ±2° Vertical
Bounding Box: Exposure: Between -5% and +5%

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