Dataset Versions

v1

2024-08-12 8:49am

Generated on Aug 12, 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.
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Dataset Split

Train Set 97%
2685Images
Valid Set 2%
60Images
Test Set 1%
14Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -34% and +34%
Blur: Up to 2.5px
Bounding Box: Brightness: Between -15% and +15%

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