Dataset Versions

v2

YOLO-NAS

Generated on Oct 25, 2024

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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.
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Dataset Split

Train Set 82%
507Images
Valid Set 13%
78Images
Test Set 5%
33Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 20% of images
Saturation: Between -30% and +30%
Exposure: Between -15% and +15%

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