Dataset Versions

v1

Debsithefirst

Generated on May 9, 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 92%
2004Images
Valid Set 4%
83Images
Test Set 4%
83Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 16% Maximum Zoom
Shear: ±10° Horizontal, ±7° Vertical
Hue: Between -24° and +24°
Saturation: Between -24% and +24%
Blur: Up to 1.75px
Mosaic: Applied
Bounding Box: Shear: ±12° Horizontal, ±7° Vertical
Bounding Box: Brightness: Between -21% and +21%
Bounding Box: Noise: Up to 3% of pixels

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