Dataset Versions

v5

2023-06-23 11:35am

Generated on Jun 23, 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.
Other Formats
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Dataset Split

Train Set 80%
5511Images
Valid Set 10%
687Images
Test Set 10%
688Images

Preprocessing

Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 4 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Saturation: Between -50% and +50%
Brightness: Between -30% and +30%
Exposure: Between -20% and +20%
Blur: Up to 2px
Noise: Up to 1% of pixels
Bounding Box: Brightness: Between -30% and +30%
Bounding Box: Exposure: Between -20% and +20%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 1% of pixels

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