Dataset Versions

v2

2022-11-10 9:36am

Generated on Nov 10, 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.
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Dataset Split

Train Set 90%
9810Images
Valid Set 8%
855Images
Test Set 2%
197Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -19° and +19°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2.75px
Noise: Up to 9% of pixels
Cutout: 3 boxes with 10% size each

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