Dataset Versions

v1

Augmented_Dataset

Generated on Sep 21, 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
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Dataset Split

Train Set 92%
4344Images
Valid Set 4%
181Images
Test Set 4%
181Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 6 remapped, 8 dropped

Augmentations

Outputs per training example: 3
Exposure: Between -30% and +30%
Blur: Up to 1px
Noise: Up to 10% of pixels

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