Dataset Versions

v1

2024-01-18 8:24am

Generated on Jan 18, 2024

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 35%
522Images
Valid Set 50%
740Images
Test Set 14%
213Images

Preprocessing

Auto-Orient: Applied
Grayscale: Applied
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Hue: Between -21° and +21°
Saturation: Between -34% and +34%
Brightness: Between -24% and +24%
Exposure: Between -15% and +15%
Blur: Up to 4.7px

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