Dataset Versions

v1

2022-05-31 6:43pm

Generated on May 31, 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 92%
636Images
Valid Set 4%
26Images
Test Set 4%
26Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Saturation: Between -40% and +40%
Mosaic: Applied
Bounding Box: Brightness: Between -37% and +37%

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