Dataset Versions

v1

2024-09-10 10:38am

Generated on Sep 10, 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 88%
11418Images
Valid Set 6%
820Images
Test Set 6%
810Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Saturation: Between -46% and +46%
Brightness: Between -39% and +39%
Noise: Up to 1.76% of pixels