Dataset Versions

v11

2022-11-20 12:30pm

Generated on Nov 20, 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.
Other Formats
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Dataset Split

Train Set 93%
105Images
Valid Set 7%
8Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Brightness: Between -38% and +38%
Noise: Up to 4% of pixels
Cutout: 25 boxes with 3% size each
Mosaic: Applied
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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