dataset_isense_3 Dataset

v4

isense_v2

Generated on Dec 20, 2023

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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
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Dataset Split

Train Set 82%
7000Images
Valid Set 12%
1000Images
Test Set 6%
500Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 2
Flip: Horizontal
Brightness: Between -5% and +5%
Blur: Up to 1px
Noise: Up to 2% of pixels

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