Dataset Versions

v15

2023-07-11 11:32pm

Generated on Jul 12, 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 84%
3831Images
Valid Set 11%
503Images
Test Set 5%
245Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 320x240
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 2
Blur: Up to 2.5px
Cutout: 4 boxes with 10% size each
Bounding Box: Rotation: Between -4° and +4°
Bounding Box: Blur: Up to 1.5px
Bounding Box: Noise: Up to 5% of pixels

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