Dataset Versions

v8

2023-12-19 4:48pm

Generated on Dec 19, 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 95%
1377Images
Valid Set 5%
70Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -20° and +20°
Shear: ±30° Horizontal, ±30° Vertical
Saturation: Between -50% and +50%
Exposure: Between -32% and +32%
Bounding Box: Blur: Up to 3px
Bounding Box: Noise: Up to 5% of pixels

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