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OsuNN

Object Detection

OsuNN Image Dataset

v3

2024-02-07 4:41pm

Generated on Feb 7, 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 92%
861Images
Valid Set 8%
73Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x360

Augmentations

Outputs per training example: 3
Grayscale: Apply to 10% of images
Hue: Between -23° and +23°
Brightness: Between -25% and +25%
Blur: Up to 0.4px
Noise: Up to 1.01% of pixels