Dataset Versions

v2

r-flow2

Generated on Dec 15, 2021

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 95%
444Images
Valid Set %
0Images
Test Set 5%
22Images

Preprocessing

Resize: Stretch to 864x864

Augmentations

Outputs per training example: 3
Grayscale: Apply to 45% of images
Saturation: Between -25% and +25%
Brightness: Between 0% and +25%
Exposure: Between -2% and +2%

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