Dataset Versions

v17

PosterDetectionCFV4

Generated on Dec 28, 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 82%
354Images
Valid Set 15%
64Images
Test Set 3%
13Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Grayscale: Apply to 50% of images
Saturation: Between -58% and +58%
Brightness: Between -59% and +59%