rowida abdelkhalek

NM

Object Detection

NM Image Dataset

v2

2024-06-17 2:00pm

Generated on Jun 17, 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 87%
333Images
Valid Set 8%
32Images
Test Set 4%
16Images

Preprocessing

Static Crop: 25-94% Horizontal Region, 14-53% Vertical Region

Augmentations

Outputs per training example: 3
Flip: Vertical
Brightness: Between -55% and +55%
Blur: Up to 4px