Dataset Versions

v10

2022-02-10 7:35pm

Generated on Feb 10, 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.
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Dataset Split

Train Set 88%
11763Images
Valid Set 8%
1120Images
Test Set 4%
560Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Blur: Up to 1.25px
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical

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