Dataset Versions

v1

2021-11-08 10:55pm

Generated on Nov 8, 2021

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 88%
858Images
Valid Set %
0Images
Test Set 12%
122Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Rotation: Between -33° and +33°
Saturation: Between -53% and +53%
Brightness: Between -49% and +49%
Blur: Up to 0.75px
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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