Dataset Versions

v5

Augmentation

Generated on Jun 28, 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 83%
2649Images
Valid Set 9%
281Images
Test Set 9%
280Images

Preprocessing

Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Saturation: Between -20% and +20%
Bounding Box: Flip: Horizontal
Bounding Box: Exposure: Between -15% and +15%

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