Dataset Versions

v1

1940imgs-DAimglevel-1oct2024

Generated on Oct 1, 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%
4086Images
Valid Set 8%
387Images
Test Set 4%
191Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2.5px