akdeniz university

NIR Project

Object Detection

NIR Project Image Dataset

v1

TIR-Person-New-Update

Generated on Jun 13, 2022

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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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 88%
552Images
Valid Set 8%
52Images
Test Set 4%
24Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 10px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each