MO

T90

Object Detection

T90 Image Dataset

v3

2022-10-17 6:23pm

Generated on Oct 17, 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 87%
564Images
Valid Set 8%
53Images
Test Set 4%
29Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 50% of images
Noise: Up to 5% of pixels
Cutout: 3 boxes with 14% size each
Mosaic: Applied
Bounding Box: Blur: Up to 5px