Dataset Versions

v3

YOLO NAS

Generated on Mar 23, 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.
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Dataset Split

Train Set 90%
21924Images
Valid Set 7%
1741Images
Test Set 2%
569Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 16% Maximum Zoom
Brightness: Between -16% and +16%
Blur: Up to 2.6px
Noise: Up to 0.26% of pixels
Bounding Box: Blur: Up to 2.5px

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