Dataset Versions

v8

nam-ver-2

Generated on Dec 18, 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 94%
2490Images
Valid Set 6%
146Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 20% of images
Hue: Between -24° and +24°
Brightness: Between -25% and +0%
Blur: Up to 2.75px