Dataset Versions

v3

V2_DS2209

Generated on Sep 10, 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.
CreateML JSON
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Dataset Split

Train Set 88%
10180Images
Valid Set 8%
961Images
Test Set 4%
475Images

Preprocessing

Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Saturation: Between -30% and +30%
Exposure: Between -14% and +14%

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1.3k images