ozOD

baret yen

Object Detection

baret yen Image Dataset

v3

2023-11-25 10:24pm

Generated on Nov 25, 2023

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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%
324Images
Valid Set 9%
32Images
Test Set 4%
15Images

Preprocessing

Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 1.25px
Noise: Up to 5% of pixels

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