Dataset Versions

v4

Final

Generated on Mar 8, 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.
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Dataset Split

Train Set 87%
6645Images
Valid Set 9%
656Images
Test Set 4%
321Images

Preprocessing

Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 27 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Blur: Up to 10px
Noise: Up to 5% of pixels