Dataset Versions

v1

2023-11-09 9:56am

Generated on Nov 9, 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 92%
12228Images
Valid Set 8%
1012Images
Test Set %
0Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Cutout: 3 boxes with 10% size each
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±20° Horizontal, ±20° Vertical
Bounding Box: Blur: Up to 2px
Bounding Box: Noise: Up to 5% of pixels

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